Hex Hub Map with Webscraping
Brendan O’Dowd
2022-09-30
Overview
The Knowledge Transfer Ireland website has a ‘Research Map of Ireland’ with details of state funded research organisations such as universities, institutes of technology and research centres of scale. Each of these organisations or hubs has its own unique page on the Knowledge Transfer Ireland website. The organisations can also be accessed via a list which has links to those individual pages. Each of the individual pages has a Google Maps widget from which the longitude-latitude coordinates can be gleaned. The individual pages also mention the ‘type’ of each organisation; e.g. University, SFI Research Centre, etc. The aim here is to scrape the list of organisations, and then visit each of the individual pages to find the type and coordinates for each organisation.
In terms of plotting, I would like to represent each organisation as a non-overlapping hexagon on the map, so that a large number of organisations in a single area is well-represented. I also want an inset for the Dublin area, since otherwise the hexagons will be pushed far from the locations of the organisations that they represent.
Here is an image of the end-goal.
This is what we’ll make
Webscraping Data
Setup
Use tidyverse for general data manipulation and plotting, sf for geospatial data, and rvest for web-scraping. RColorBrewer is used on one occasion only later on.
library(tidyverse)
library(sf)
library(rvest)Scraping objective
The Knowledge Transfer Ireland website has a list of 73 organisations. The list can be viewed 5 organisations at a time, so is split over 15 separate URLs. We will go through each of these 15 pages and extract the names and descriptions of the organistions, as well as the link to the webpage for each individual organisation.
Scraping list of pages of organisations
Here we create a vector page_urls which contains the
URLs for each of the 15 pages listing organistions on the Knowledge
Transfer Ireland website.
base_url <- 'https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/'
page_urls <- paste0(base_url , '?pageNumber=' , 1:15)
rm(base_url)Create an empty list which will contain data on each of these 15
pages. It will be populated using a for loop over the 15 URLs in
page_urls. We use the function html_elements
from the rvest package to extract specific html elements. The h2 objects
contain the names of the organisations, the paragraph (p) objects
contain descriptions of the organisations, and the ‘a href’ objects
contain links to the individual pages for each of the organisations.
page_data_list <- list()
# loop over the number of pages (15)
for(i in 1:length(page_urls)){
# read in the html
page <- read_html(page_urls[i])
# get name which is are the h2 objects
name <- page %>%
html_elements('h2') %>%
html_text() %>%
as.data.frame() %>%
rename(name=1)
# get description, which are paragraphs followed by another paragraph that starts with 'Read More >>'
desc <- page %>%
html_elements('p') %>%
html_text() %>%
str_squish() %>%
as.data.frame() %>%
rename(desc=1) %>%
filter(lead(desc) == 'Read More >>')
# get link, which is an 'a href' object with a specific starting pattern
link <- page %>%
html_elements('a') %>%
html_attr('href') %>%
str_squish() %>%
as.data.frame() %>%
rename(link=1) %>%
filter(str_detect(link, '/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/\\w')) %>%
distinct()
page_data_list[[i]] <- bind_cols(name, desc, link)
rm(name, desc, link)
}You will see in the code above that the descriptions are captured by
taking all of the paragraphs, but filtering where the subsequent
paragraph was equal to 'Read More >>'. You are
probably wondering how this approach came about. It was observed at some
point while looking at the data that the text that I wanted was always
followed by a row with “Read More >>”, and that pattern can be
seen in hte html code for the page as well, see the image below. You
could probably also capture only the paragraphs with class equal to
“summary”.
Now we can bind the list page_data_list into a
dataframe. I also make some changes to the URLs, replacing long dashes
with '%E2%80%93' and spaces with '%20'.
Otherwise R can’t find them. Then we attach the URL prefix (https://www.knowledgetransferireland.com).
page_data <- bind_rows(page_data_list) %>%
mutate(link = link %>%
str_replace_all('–', '%E2%80%93') %>%
str_replace_all(' ', '%20') %>%
str_c('https://www.knowledgetransferireland.com', . ))| name | desc | link |
|---|---|---|
| Athlone Institute of Technology | TUS Athlone’s strategy is to be a partner of choice for enterprise - focusing our research, innovation and enterprise support activities on addressing the needs of regional and national industry. We do this by proactive… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Athlone-Institute-of-Technology.html |
| Technological University Dublin (TU Dublin) - Tallaght TTO | The Technology Transfer Office (TTO) at the Institute of Technology, Tallaght engages with industry to maximise the economic potential of ITT research and innovation. | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Technological-University-Dublin-Tallaght-TTO.html |
| Technological University Dublin (TU Dublin) - Blanchardstown TTO | ITB prides itself on being a practice-led higher education institute building on its emerging strengths in applied research, development and innovation by working closely with local industry to develop capability for eco… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Technological-University-Dublin-TU-Dublin-Blanchardstown-TTO.html |
| Institute of Technology Carlow (IT Carlow) TTO | The Institute of Technology Carlow is committed to delivering research outputs with clear societal and economic impact. We have a proven track record of excellence in delivering international and industrial impact in a n… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Institute_of_Technology_Carlow_IT_Carlow_TTO.html |
| Munster Technological University Kerry (MTU Kerry) TTO | The majority of the research conducted at the university is collaborative and focused on delivering innovative solutions to our industrial partners to promote competitiveness and new job creation. | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Munster-Technological-University-Kerry-MTU-Kerry-TTO.html |
| Limerick Institute of Technology | Collaboration also lies at the heart of LIT’s enterprise development activity and its unique Enterprise Ladder, through which our Enterprise Development and Business Liaison Manager Gillian Barry works closely with Enter… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Limerick-Institute-of-Technology.html |
| Maynooth University TTO | We do things differently at Maynooth – and our approach has had a major impact on the local economy. We have one of Ireland’s strongest spin-out performances and play a key role in anchoring and retaining foreign direct … | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Maynooth-University-TTO.html |
| Trinity College Dublin (TCD) TTO | Trinity is recognised as one of the world’s leading research-intensive universities and its research continues to address issues of global, societal and economic importance. The university’s research strategy is based on… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Trinity_College_Dublin_TCD_TTO.html |
| University College Cork (UCC) TTO | UCC plays a key role in the development of Ireland’s knowledge-based economy and provides strong support for entrepreneurship and new business creation, with entrepreneurship education modules available to all students. … | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/University_College_Cork_UCC_TTO.html |
| University College Dublin (UCD) TTO | University College Dublin is an environment of excellence. This is visible across its education programmes, in its research teams and in the facilities and systems that support them. UCD also recognises the critical impo… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/University_College_Dublin_UCD_TTO.html |
| University of Limerick (UL) TTO | The University of Limerick has an established reputation for being Ireland’s leading university in industry-led research. This has resulted in significant research commercialisation activities and collaboration between o… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/University_of_Limerick.html |
| Waterford Institute of Technology (WIT) TTO | Waterford Institute of Technology’s research vision is to drive regional economic development through our global reputation for research and innovation excellence. The Technology Transfer Office is driving the realisatio… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Waterford_Institute_of_Technology_WIT_TTO.html |
| Munster Technological University Cork (MTU Cork) TTO | The Industry Liaison Office in MTU Cork is responsible for all technology transfer activities between the institute and industry. | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Munster-Technological-University-Cork-MTU-Cork-TTO.html |
| Dublin City University (DCU) TTO | As the gateway for doing business with DCU, Invent works with researchers to collaborate with industry through licensing of our intellectual property or the creation of new IP through research partnerships. | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Dublin_City_University_DCU_TTO.html |
| Letterkenny Institute of Technology (LYIT) TTO | LYIT is acutely aware of its responsibility to contribute to regional and national economic prosperity and employment creation. We continue to deliver on this important strategic priority by leveraging Higher Education i… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Letterkenny_Institute_of_Technology_LYIT_TTO.html |
| Galway-Mayo Institute of Technology (GMIT) TTO | We believe in an integrated approach to research, development and innovation (RDI) and have streamlined operations into a number of research centres and an Innovation Hub. Our research centres, focussing on marine and fr… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Galway-Mayo_Institute_of_Technology_GMIT_TTO.html |
| Dundalk Institute of Technology (DkIT) TTO | The Regional Development Centre, through its technology transfer and applied research services provides: Industry collaboration through knowledge transfer services aimed at established enterprises and external organisa… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Dundalk_Institute_of_Technology_DkIT_TTO.html |
| Dun Laoghaire Institute of Art, Design & Technology (IADT) TTO | With deep expertise and experience in areas such as design, visual communication, multimedia and psychology. Our staff regularly help companies re-think how their technology, products and services can be designed to maxi… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Dun_Laoghaire_Institute_of_Art_Design_Technology_IADT_TTO1.html |
| National University of Ireland Galway TTO (NUIG) | NUI Galway is a research-led University which emphasises inter-disciplinary research programmes and collaborations with industry and social and cultural partners in areas of strategic importance, both regionally and nati… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/National-University-of-Ireland-Galway-TTO-NUIG-.html |
| Institute of Technology Sligo TTO | IT Sligo has been involved in research for over 30 years. One of the strategic objectives of research at the Institute is to directly support business to provide new knowledge and increased capacity to operate in a devel… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Institute-of-Technology-Sligo-TTO.html |
| Lero - Irish Software Engineering Research Centre - Limerick | Lero is the Irish Software Engineering Research CSET in University of Limerick. It brings together leading software engineering (SE) teams from Universities and Institutes of Technology in a coordinated centre of researc… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Lero-Irish-Software-Engineering-Research-Centre-Limerick.html |
| AMBER - Advanced Materials and BioEngineering Research - Dublin | AMBER (Advanced Materials and BioEngineering Research) is a Science Foundation Ireland (SFI) funded centre that provides a partnership between leading researchers in material science and industry. It is jointly hosted i… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/AMBER_-_Advanced_Materials_and_BioEngineering_Research.html |
| APC - Microbiome Institute - Cork | APC is a gastrointestinal health research centre exploring the role that gastrointestinal bacteria (microbiota) play in health and disease. The microbiota is a target for treatment and prevention of disease, and a source… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/APC-Microbiome-Institute-Cork.html |
| INFANT - Irish Centre for Foetal and Neonatal Translational Research - Cork | INFANT: INNOVATION FOR THE NEXT GENERATION Founded upon over a decade of worldclass collaborative research and a diverse array of national and international academic and industry partnerships, INFANT is now an internatio… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/INFANT-Irish-Centre-for-Foetal-and-Neonatal-Translational-Research-Cork.html |
| Insight – Centre for Data Analytics | We live in a data rich world, where almost everything we do results in a data record being created and stored somewhere. Our vision is to create a healthier, safer, more productive world by empowering a data-driven socie… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Insight-%E2%80%93-Centre-for-Data-Analytics.html |
| IPIC - Irish Photonic Integration Centre - Cork | IPIC in University College Cork, will address the grand challenge of Photonic Integration, which the team equates to the grand challenge of electronic integration in the 1960s. They will develop novel integrated photonic… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/IPIC-%E2%80%93-Irish-Photonic-Integration-Centre-Cork.html |
| MaREI - Marine Renewable Energy Ireland - Cork | The MaREI programme is founded on well-established Marine Renewable Energy (MRE) research capability distributed throughout Ireland. The centre brings together expert groups who have established themselves as internation… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/MaREI-%E2%80%93-Marine-Renewable-Energy-Ireland-Cork.html |
| SSPC, the SFI Research Centre for Pharmaceuticals | Synthesis and Solid State Pharmaceutical Centre (SSPC), the Science Foundation Ireland (SFI) Research Centre for Pharmaceuticals, is a hub of Irish pharmaceutically relevant research expertise developing innovative techn… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/SSPC-the-SFI-Research-Centre-for-Pharmaceuticals-.html |
| CeADAR – Data Analytics & Machine Intelligence - Dublin | CeADAR (the Centre for Applied Data Analytics Research) is an industry-led technology centre initiative for innovation and applied research that accelerates the development, deployment and adoption of Data Analytics tech… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/CeADAR-%E2%80%93-Data-Analytics-Machine-Intelligence-Dublin.html |
| FHI - Food for Health Ireland - Dublin | Food for Health Ireland (FHI) in University College Dublin is a leading global innovation centre for the development of nutritional functional ingredients to improve health, wellness and quality of life. | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/FHI-Food-for-Health-Ireland-Dublin.html |
| IMR - Irish Manufacturing Research - Mullingar | IMR is a ‘not-for-profit’ research company, limited by guarantee (membership not shareholding) that is carrying out research in areas of manufacturing productivity. It includes areas of research in training and developme… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/IMR-Irish-Manufacturing-Research-Mullingar.html |
| Learnovate Centre - Dublin | The Learnovate Centre is an industry-led centre of excellence for research and innovation in learning technologies, hosted by Trinity College, Dublin. Our mission is to enhance the competitive advantage of Ireland’s lear… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Learnovate-Centre-Dublin.html |
| MCCI - Microelectronics - Cork | MCCI – the Microelectronics Technology Centre in the Tyndall National Institute. MCCI is an EI/IDA funded technology centre focused on carrying out microelectronic circuit research for the benefit of industry. The MCCI v… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/MCCI-Microelectronics-Cork.html |
| Pharmaceutical Manufacturing (PMTC) - Limerick | The vision of the PMTC is to support and develop the Irish pharmaceutical industry (small and large molecule) by improving manufacturing competitiveness and enhancing the research and development mandate and activity of … | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/PMTC-Pharmaceutical-Manufacturing-Limerick.html |
| APT - Applied Polymer Technologies - Athlone | The Applied Polymer Technology (APT) Gateway is an interdisciplinary technology gateway focused on all aspects of polymer research. | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/APT-Applied-Polymer-Technologies-Athlone.html |
| CAPPA - Centre for Advanced Photonics and Process Analysis - Cork | CAPPA’s researchers have a strong track record of engagement with industry. Early collaborations centred on activities in our Photonic Material & Devices Strand and as a consequence was primarily with the photonics secto… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/CAPPA-Centre-for-Advanced-Photonics-and-Process-Analysis-Cork.html |
| COMAND - Interactive Media Technologies - Athlone | COMAND concentrates on the research and development of prospective interactive media technologies, based at the SRI Athlone Institute of Technology focuses on Cross Platform Applications, Mobile Media Cloud and 3D Sensi… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/COMAND-Interactive-Media-Technologies-Athlone.html |
| CREST - Centre for Research in Engineering Surface Technology - Dublin | The CREST Centre in Dublin Institute of Technology, is the only dedicated surface coatings laboratory on the Island of Ireland. It exists to serve the SMART economy by means of translating in-house fundamental knowledge … | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/CREST-Centre-for-Research-in-Engineering-Surface-Technology-Dublin.html |
| IMaR - Intelligent Mechatronics and RFID - Tralee | In 2013 the IT Tralee was awarded Enterprise Ireland Technology Gateway funding (up to €1.2m over 5 years) to establish the IMaR Technology Gateway. The principal theme of the IMaR Technology Gateway is on the design and… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/IMaR-Intelligent-Mechatronics-and-RFID-Tralee.html |
| MiCRA - Microsensors for Clinical Research and Analysis - Dublin | MiCRA is an award winning Technology Gateway located in the Institute of Technology, Tallaght. The Gateway was established, through funding from Enterprise Ireland, to enable Industry access to the skills, expertise and … | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/MiCRA-Microsensors-for-Clinical-Research-and-Analysis-Dublin.html |
| PMBrc - Pharmaceutical & Molecular Biotechnology Research Centre - Waterford | The Pharmaceutical and Molecular Biotechnology Research Centre (PMBRC) is an applied research centre which aims to support the sustainable growth of the pharmaceutical and healthcare industry in the south east of Ireland… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/PMBrc-Pharmaceutical-Molecular-Biotechnology-Research-Centre-Waterford.html |
| SEAM - South Eastern Applied Materials Research Centre - Waterford | SEAM is an industry focussed applied research centre, providing innovative materials engineering solutions for companies from a wide range of sectors, including bio-medical devices, pharmaceuticals, micro-electronics, pr… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/SEAM-South-Eastern-Applied-Materials-Research-Centre-Waterford.html |
| Shannon ABC - Nutraceuticals Research - Tralee/ Limerick | Shannon ABC Gateway in Institute of Technology Tralee, has on-going and expanding programmes to explore natural products for novel bioactive substances of value to the Healthcare, Forensic, Pharmaceutical, Food, Cosmeti… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Shannon-ABC-Nutraceuticals-Research-Tralee-Limerick.html |
| NIMBUS - Embedded Computing and Software Systems - Cork | The NIMBUS Gateway based in the Nimbus Centre at CIT, has a team of 40+ hardware and software researchers working with companies who require technical expertise in Smart Technologies, Internet of Things and Cyber Physica… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/NIMBUS-Embedded-Computing-and-Software-Systems-Cork.html |
| WiSAR Lab - Wireless Sensor Technologies - Letterkenny | The WiSAR Lab is an Enterprise Ireland funded Technology Gateway (www.technologygateway.ie) based in the CoLab in the Letterkenny Institute of Technology (LYIT). The core objective of the WiSAR Gateway is to become a hub… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/WiSAR-Lab-Wireless-Sensor-Technologies-Letterkenny.html |
| Teagasc Food Research Centre - Ashtown & Moorepark | The Food Programme focuses on quality, safety and food product innovation, with emphasis in Ashtown on meat and meat products, cereals and consumer foods and food industry support services Agri-Food Business and Spatial… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Teagasc-Food-Research-Centre-Ashtown-Moorepark.html |
| ADAPT - Centre for Digital Content Technology | ADAPT research and technologies will help businesses in all sectors to manage, personalise and deliver digital content more effectively. | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/ADAPT-Centre-for-Digital-Content-Technology.html |
| iCRAG - Irish Centre for Research in Applied Geosciences | Introduction to iCRAG- Irish Centre for Research in Applied Geosciences | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/iCRAG-Irish-Centre-for-Research-in-Applied-Geosciences.html |
| CURAM SFI Research Centre for Medical Devices - Galway | CÚRAM aims to radically improve health outcomes for patients by developing ‘smart’ medical devices and implants. These devices are developed through collaborations with industry partners and hospital groups, to enable ra… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/CURAM-SFI-Research-Centre-for-Medical-Devices-Galway.html |
| CONNECT - The Centre for Future Networks and Communications - Dublin | The Centre for Future Networks and Communications (CONNECT) is a research centre for communications networking, services, applications and technologies. | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/CONNECT-The-Centre-for-Future-Networks-and-Communications-Dublin.html |
| DPTC - The Dairy Processing Technology Centre | Introduction to DPTC - The Dairy Processing Technology Centre (DPTC) is an industry–academic collaborative research centre, hosted by the University of Limerick, with a research agenda driven by the long-term growth oppo… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/DPTC-The-Dairy-Processing-Technology-Centre.html |
| Marine Institute | Introduction to the Marine Institute. | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Marine-Institute.html |
| ICHEC - Irish Centre for High-End Computing | Introduction to ICHEC - Irish Centre for High-End Computing | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/ICHEC-Irish-Centre-for-High-End-Computing.html |
| Tyndall National Institute | Introduction to Tyndall National Institute. | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Tyndall-National-Institute.html |
| NIBRT - National Institute for Bioprocessing Research & Training | Introduction to NIBRT - National Institute for Bioprocessing Research & Training | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/NIBRT-National-Institute-for-Bioprocessing-Research-Training.html |
| Royal College of Surgeons Ireland (RCSI) | Since its foundation in 1784, RCSI has played a leadership role in both research and in Irish surgical and medical education. The College’s research vision is to improve human health through translational medical researc… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Royal-College-of-Surgeons-Ireland-RCSI-.html |
| Precision Engineering, Materials and Manufacturing research - Sligo | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Precision-Engineering-Materials-and-Manufacturing-research-Sligo.html | |
| MET Gateway - Medical & Engineering Technology - Galway | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/MET-Gateway-Medical-Engineering-Technology-Galway.html | |
| Design and Applied Design Technology Gateway - Carlow | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Design-and-Applied-Design-Technology-Gateway-Carlow.html | |
| BiOrbic Bioeconomy Research Centre - Dublin | BiOrbic Bioeconomy Research Centre harnesses the wealth of Ireland’s natural resources on land and in the sea for the development of a sustainable circular Irish bioeconomy, enabling vibrant sustainable communities.. | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/BiOrbic-Bioeconomy-Research-Centre-Dublin.html |
| CONFIRM - Smart Manufacturing Research Centre - Limerick | Smart manufacturing involves the complete convergence of IT systems and industrial automation systems. Confirm’s mission is to support the transformation of the Irish manufacturing sector to a smart manufacturing paradig… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/CONFIRM-Smart-Manufacturing-Research-Centre-Limerick.html |
| Future Neuro - Centre for Chronic and Rare Neurological Diseases - Dublin | Future-Neuro will develop novel therapeutics, diagnostics and e-health infrastructure for patients with chronic and rare neurological diseases of significant economic and societal burden. | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/FutureNeuro-Centre-for-Chronic-and-Rare-Neurological-Diseases-Dublin.html |
| HRB - Health Research Board | Health Research Board Clinical Research Coordination Ireland (HRB CRCI) is an independent integrated national clinical research network, providing centralised support in the conduct of multicentre clinical trials (both c… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/HRB-Health-Research-Board.html |
| I-Form Advanced Manufacturing Research Centre - Dublin | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/I-Form-Advanced-Manufacturing-Research-Centre-Dublin.html | |
| MTI - Meat Technology Ireland | Meat Technology Ireland (MTI) is an industry-led initiative that will build a strategic research and innovation base in beef and sheepmeat processing in Ireland. | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/MTI%20-%20Meat-Technology-Ireland.html |
| National College of Ireland (NCI) TTO | The NCI Technology Transfer office was set up to assist staff and students in the commercialisation of research which is supported by Enterprise Ireland and Knowledge Transfer Ireland under the Technology Transfer Streng… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/National-College-of-Ireland-NCI-TTO.html |
| DIAS - The Dublin Institute for Advanced Studies (TTO) | DIAS, a unique institution in the Irish research landscape, has a role and focus to conduct scholarship and fundamental advanced research in specific disciplines. DIAS acts as a national hub for those disciplines and has… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/DIAS-The-Dublin-Institute-for-Advanced-Studies-TTO-.html |
| TSSG - Telecommunications Software & Systems Gateway | TSSG in Waterford Institute of Technology can assist you to unlock the potential of your business through the design and delivery of technology that empower’s your business to meet the demands of today’s customers. TSSG… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/TSSG-Telecommunications-Software-Systems-Gateway.html |
| National College of Art & Design (NCAD) TTO | NCAD Origin8 was established in 2013 as our technology transfer office and client gateway. Our focus to date has been to commercialise close to market product design. NCAD Origin8 has had three campus company spin-outs,… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/National-College-of-Art-Design-NCAD-TTO.html |
| Technological University Dublin (TU Dublin) TTO | TU Dublin hosts a thriving research community engaged in applying innovation and technology to solve the world’s most pressing challenges. With campuses in Dublin City, Tallaght and Blanchardstown. | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/Technological-University-Dublin-TU-Dublin-TTO.html |
| VistaMilk | The SFI VistaMilk Centre represents a unique collaboration between Agri-Food and information communications technology (ICT) research institutes and leading Irish/multinational food and ICT companies. | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/VistaMilk.html |
| APT – Advanced Processing Technology Research Centre Dublin | The Advanced Processing Technology Research Centre (APT), is a leading interdisciplinary research centre located in the Dublin City University for a world class materials and laser processing and advanced manufacturing r… | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/APT-%E2%80%93-Advanced-Processing-Technology-Research-Centre-Dublin-.html |
| CREDIT - Centre for Renewables and Energy - Dundalk | https://www.knowledgetransferireland.com/Research_in_Ireland/Research-Map-of-Ireland/HEI-Profiles/CREDIT-Centre-for-Renewables-and-Energy-Dundalk-.html |
Scraping data from individual organisations
Now we have a dataframe of 73 rows, one for each organisation. We now scrape the individual pages for each of these to find their type and coordinates.
From the individual pages we would like to extract the type
of organisation and the lat-long coordinates. The type of each
organisation is stored as the first paragraph object on each page, so it
can be captured using html_element('p'). However, the rest
of the page cannot be queried using rvest tools, or at least I can’t
figure out how to do it, I think because it is processed with CSS. We do
still have all the code for the page, and it turns out that the lat-long
coordinates can be located within the code as they are preceded by a
particular string pattern, which we’ll see in a minute. This code
extracts the first paragraph element from each page and the entire code,
in a similar way to how the first 73 pages were scanned.
sub_page_list <- list()
for(i in 1:nrow(page_data)){
sub_page_list[[i]] <- read_html( page_data$link[i])
type <- sub_page_list[[i]] %>%
html_element('p') %>%
html_text()
sub_page_list[[i]] <- sub_page_list[[i]] %>%
html_text() %>%
as.data.frame() %>%
rename(entire_code=1) %>%
mutate(type=type)
}To find the longitude and latitude for individual organisations, we make use of the fact that they are contained in the code within a specific string pattern. Shown below is an image of a sample piece of code where longitude and latitude for an organisation can be readily extracted.
The coordinates are a non-zero-length sequence of digits, full-stops
and minuses: [\\d\\.-]+ preceded by a particular string
pattern pToolsMarkerItem\\.GeoLongitude = (with
GeoLongitude as .GeoLatitude for latitude). We
can extract these coordinates using str_extract applied to
the dataframe made by binding the rows of
sub_page_list.
sub_pages <- bind_rows(sub_page_list) %>%
mutate(long = str_extract(entire_code , '(?<=pToolsMarkerItem\\.GeoLongitude = )[\\d\\.-]+'),
lat = str_extract(entire_code , '(?<=pToolsMarkerItem\\.GeoLatitude = )[\\d\\.-]+')) %>%
select(-entire_code) %>%
mutate(across(c(long, lat) , as.numeric))| type | long | lat |
|---|---|---|
| Institute of Technology TTO | -7.901287 | 53.41680 |
| University TTO | -6.367307 | 53.28941 |
| University TTO | -6.378036 | 53.40562 |
| Institute of Technology TTO | -6.936064 | 52.82732 |
| University TTO | -9.688954 | 52.27139 |
| Institute of Technology TTO | -8.648032 | 52.67411 |
| University TTO | -6.601453 | 53.38457 |
| University TTO | -6.254525 | 53.34289 |
| University TTO | -8.492775 | 51.89299 |
| University TTO | -6.219077 | 53.30706 |
| University TTO | -8.568048 | 52.67425 |
| Institute of Technology TTO | -7.138925 | 52.24591 |
| University TTO | -8.534489 | 51.88534 |
| University TTO | -6.257358 | 53.38502 |
| Institute of Technology TTO | -7.719569 | 54.95086 |
| Institute of Technology TTO | -9.008875 | 53.27743 |
| Institute of Technology TTO | -6.392756 | 53.98214 |
| Institute of Technology TTO | -6.155884 | 53.28103 |
| University TTO | -9.061457 | 53.27667 |
| Institute of Technology TTO | -8.461576 | 54.27673 |
| SFI Research Centre | -8.575172 | 52.67649 |
| SFI Research Centre | -6.249944 | 53.34366 |
| SFI Research Centre | -8.489255 | 51.89524 |
| HEI Profiles | -8.489385 | 51.89317 |
| SFI Research Centre | -6.258943 | 53.38563 |
| SFI Research Centre | -8.494148 | 51.89299 |
| SFI Research Centre | -8.492775 | 51.89299 |
| SFI Research Centre | -8.568048 | 52.67425 |
| Technology Centre | -6.234191 | 53.31264 |
| Technology Centre | -6.219077 | 53.30706 |
| Technology Centre | -6.465689 | 53.28971 |
| Technology Centre | -6.240219 | 53.34187 |
| Technology Centre | -8.492775 | 51.89299 |
| Technology Centre | -8.574970 | 52.66848 |
| Technology Gateway | -7.900941 | 53.41881 |
| Technology Gateway | -8.532258 | 51.88774 |
| Technology Gateway | -7.905082 | 53.42073 |
| Technology Gateway | -6.266324 | 53.33840 |
| Technology Gateway | -9.689690 | 52.27192 |
| Technology Gateway | -6.367307 | 53.28941 |
| Technology Gateway | -7.141660 | 52.24734 |
| Technology Gateway | -7.136028 | 52.24613 |
| Technology Gateway | -8.649413 | 52.67435 |
| Technology Gateway | -8.535970 | 51.88588 |
| Technology Gateway | -7.720985 | 54.95204 |
| National Institutes and Facilities | -6.336622 | 53.38093 |
| SFI Research Centre | -6.254577 | 53.34389 |
| SFI Research Centre | -6.222805 | 53.30925 |
| SFI Research Centre | -9.074015 | 53.29071 |
| SFI Research Centre | -6.250170 | 53.34221 |
| Technology Centre | -8.575857 | 52.67499 |
| National Institutes and Facilities | -8.976420 | 53.24823 |
| National Institutes and Facilities | -6.241150 | 53.34181 |
| National Institutes and Facilities | -8.483326 | 51.89837 |
| National Institutes and Facilities | -6.212018 | 53.30261 |
| University TTO | -6.261964 | 53.33912 |
| Technology Gateway | -8.464580 | 54.27685 |
| Technology Gateway | -9.004393 | 53.27638 |
| Technology Gateway | -6.937362 | 52.82773 |
| SFI Research Centre | -6.219077 | 53.30706 |
| SFI Research Centre | -8.576760 | 52.67256 |
| SFI Research Centre | -6.262576 | 53.33897 |
| National Institutes and Facilities | -6.244775 | 53.33724 |
| SFI Research Centre | -6.220654 | 53.30534 |
| Technology Centre | -6.336622 | 53.38072 |
| University TTO | -6.243179 | 53.34882 |
| Institute of Technology TTO | -6.245638 | 53.33134 |
| Technology Gateway | -7.139858 | 52.24607 |
| University TTO | -6.278675 | 53.34292 |
| University TTO | -6.278980 | 53.35321 |
| SFI Research Centre | -8.264160 | 52.16325 |
| National Institutes and Facilities | -6.263190 | 53.38481 |
| Technology Gateway | -6.540900 | 53.95093 |
That’s good. Now let’s create the dataset that we’ll use for plotting
by adding the page_data columns.
hub_data <- bind_cols(page_data , sub_pages) %>%
select(-link)| name | desc | type | long | lat |
|---|---|---|---|---|
| Athlone Institute of Technology | TUS Athlone’s strategy is to be a partner of choice for enterprise - focusing our research, innovation and enterprise support activities on addressing the needs of regional and national industry. We do this by proactive… | Institute of Technology TTO | -7.901287 | 53.41680 |
| Technological University Dublin (TU Dublin) - Tallaght TTO | The Technology Transfer Office (TTO) at the Institute of Technology, Tallaght engages with industry to maximise the economic potential of ITT research and innovation. | University TTO | -6.367307 | 53.28941 |
| Technological University Dublin (TU Dublin) - Blanchardstown TTO | ITB prides itself on being a practice-led higher education institute building on its emerging strengths in applied research, development and innovation by working closely with local industry to develop capability for eco… | University TTO | -6.378036 | 53.40562 |
| Institute of Technology Carlow (IT Carlow) TTO | The Institute of Technology Carlow is committed to delivering research outputs with clear societal and economic impact. We have a proven track record of excellence in delivering international and industrial impact in a n… | Institute of Technology TTO | -6.936064 | 52.82732 |
| Munster Technological University Kerry (MTU Kerry) TTO | The majority of the research conducted at the university is collaborative and focused on delivering innovative solutions to our industrial partners to promote competitiveness and new job creation. | University TTO | -9.688954 | 52.27139 |
| Limerick Institute of Technology | Collaboration also lies at the heart of LIT’s enterprise development activity and its unique Enterprise Ladder, through which our Enterprise Development and Business Liaison Manager Gillian Barry works closely with Enter… | Institute of Technology TTO | -8.648032 | 52.67411 |
| Maynooth University TTO | We do things differently at Maynooth – and our approach has had a major impact on the local economy. We have one of Ireland’s strongest spin-out performances and play a key role in anchoring and retaining foreign direct … | University TTO | -6.601453 | 53.38457 |
| Trinity College Dublin (TCD) TTO | Trinity is recognised as one of the world’s leading research-intensive universities and its research continues to address issues of global, societal and economic importance. The university’s research strategy is based on… | University TTO | -6.254525 | 53.34289 |
| University College Cork (UCC) TTO | UCC plays a key role in the development of Ireland’s knowledge-based economy and provides strong support for entrepreneurship and new business creation, with entrepreneurship education modules available to all students. … | University TTO | -8.492775 | 51.89299 |
| University College Dublin (UCD) TTO | University College Dublin is an environment of excellence. This is visible across its education programmes, in its research teams and in the facilities and systems that support them. UCD also recognises the critical impo… | University TTO | -6.219077 | 53.30706 |
| University of Limerick (UL) TTO | The University of Limerick has an established reputation for being Ireland’s leading university in industry-led research. This has resulted in significant research commercialisation activities and collaboration between o… | University TTO | -8.568048 | 52.67425 |
| Waterford Institute of Technology (WIT) TTO | Waterford Institute of Technology’s research vision is to drive regional economic development through our global reputation for research and innovation excellence. The Technology Transfer Office is driving the realisatio… | Institute of Technology TTO | -7.138925 | 52.24591 |
| Munster Technological University Cork (MTU Cork) TTO | The Industry Liaison Office in MTU Cork is responsible for all technology transfer activities between the institute and industry. | University TTO | -8.534489 | 51.88534 |
| Dublin City University (DCU) TTO | As the gateway for doing business with DCU, Invent works with researchers to collaborate with industry through licensing of our intellectual property or the creation of new IP through research partnerships. | University TTO | -6.257358 | 53.38502 |
| Letterkenny Institute of Technology (LYIT) TTO | LYIT is acutely aware of its responsibility to contribute to regional and national economic prosperity and employment creation. We continue to deliver on this important strategic priority by leveraging Higher Education i… | Institute of Technology TTO | -7.719569 | 54.95086 |
| Galway-Mayo Institute of Technology (GMIT) TTO | We believe in an integrated approach to research, development and innovation (RDI) and have streamlined operations into a number of research centres and an Innovation Hub. Our research centres, focussing on marine and fr… | Institute of Technology TTO | -9.008875 | 53.27743 |
| Dundalk Institute of Technology (DkIT) TTO | The Regional Development Centre, through its technology transfer and applied research services provides: Industry collaboration through knowledge transfer services aimed at established enterprises and external organisa… | Institute of Technology TTO | -6.392756 | 53.98214 |
| Dun Laoghaire Institute of Art, Design & Technology (IADT) TTO | With deep expertise and experience in areas such as design, visual communication, multimedia and psychology. Our staff regularly help companies re-think how their technology, products and services can be designed to maxi… | Institute of Technology TTO | -6.155884 | 53.28103 |
| National University of Ireland Galway TTO (NUIG) | NUI Galway is a research-led University which emphasises inter-disciplinary research programmes and collaborations with industry and social and cultural partners in areas of strategic importance, both regionally and nati… | University TTO | -9.061457 | 53.27667 |
| Institute of Technology Sligo TTO | IT Sligo has been involved in research for over 30 years. One of the strategic objectives of research at the Institute is to directly support business to provide new knowledge and increased capacity to operate in a devel… | Institute of Technology TTO | -8.461576 | 54.27673 |
| Lero - Irish Software Engineering Research Centre - Limerick | Lero is the Irish Software Engineering Research CSET in University of Limerick. It brings together leading software engineering (SE) teams from Universities and Institutes of Technology in a coordinated centre of researc… | SFI Research Centre | -8.575172 | 52.67649 |
| AMBER - Advanced Materials and BioEngineering Research - Dublin | AMBER (Advanced Materials and BioEngineering Research) is a Science Foundation Ireland (SFI) funded centre that provides a partnership between leading researchers in material science and industry. It is jointly hosted i… | SFI Research Centre | -6.249944 | 53.34366 |
| APC - Microbiome Institute - Cork | APC is a gastrointestinal health research centre exploring the role that gastrointestinal bacteria (microbiota) play in health and disease. The microbiota is a target for treatment and prevention of disease, and a source… | SFI Research Centre | -8.489255 | 51.89524 |
| INFANT - Irish Centre for Foetal and Neonatal Translational Research - Cork | INFANT: INNOVATION FOR THE NEXT GENERATION Founded upon over a decade of worldclass collaborative research and a diverse array of national and international academic and industry partnerships, INFANT is now an internatio… | HEI Profiles | -8.489385 | 51.89317 |
| Insight – Centre for Data Analytics | We live in a data rich world, where almost everything we do results in a data record being created and stored somewhere. Our vision is to create a healthier, safer, more productive world by empowering a data-driven socie… | SFI Research Centre | -6.258943 | 53.38563 |
| IPIC - Irish Photonic Integration Centre - Cork | IPIC in University College Cork, will address the grand challenge of Photonic Integration, which the team equates to the grand challenge of electronic integration in the 1960s. They will develop novel integrated photonic… | SFI Research Centre | -8.494148 | 51.89299 |
| MaREI - Marine Renewable Energy Ireland - Cork | The MaREI programme is founded on well-established Marine Renewable Energy (MRE) research capability distributed throughout Ireland. The centre brings together expert groups who have established themselves as internation… | SFI Research Centre | -8.492775 | 51.89299 |
| SSPC, the SFI Research Centre for Pharmaceuticals | Synthesis and Solid State Pharmaceutical Centre (SSPC), the Science Foundation Ireland (SFI) Research Centre for Pharmaceuticals, is a hub of Irish pharmaceutically relevant research expertise developing innovative techn… | SFI Research Centre | -8.568048 | 52.67425 |
| CeADAR – Data Analytics & Machine Intelligence - Dublin | CeADAR (the Centre for Applied Data Analytics Research) is an industry-led technology centre initiative for innovation and applied research that accelerates the development, deployment and adoption of Data Analytics tech… | Technology Centre | -6.234191 | 53.31264 |
| FHI - Food for Health Ireland - Dublin | Food for Health Ireland (FHI) in University College Dublin is a leading global innovation centre for the development of nutritional functional ingredients to improve health, wellness and quality of life. | Technology Centre | -6.219077 | 53.30706 |
| IMR - Irish Manufacturing Research - Mullingar | IMR is a ‘not-for-profit’ research company, limited by guarantee (membership not shareholding) that is carrying out research in areas of manufacturing productivity. It includes areas of research in training and developme… | Technology Centre | -6.465689 | 53.28971 |
| Learnovate Centre - Dublin | The Learnovate Centre is an industry-led centre of excellence for research and innovation in learning technologies, hosted by Trinity College, Dublin. Our mission is to enhance the competitive advantage of Ireland’s lear… | Technology Centre | -6.240219 | 53.34187 |
| MCCI - Microelectronics - Cork | MCCI – the Microelectronics Technology Centre in the Tyndall National Institute. MCCI is an EI/IDA funded technology centre focused on carrying out microelectronic circuit research for the benefit of industry. The MCCI v… | Technology Centre | -8.492775 | 51.89299 |
| Pharmaceutical Manufacturing (PMTC) - Limerick | The vision of the PMTC is to support and develop the Irish pharmaceutical industry (small and large molecule) by improving manufacturing competitiveness and enhancing the research and development mandate and activity of … | Technology Centre | -8.574970 | 52.66848 |
| APT - Applied Polymer Technologies - Athlone | The Applied Polymer Technology (APT) Gateway is an interdisciplinary technology gateway focused on all aspects of polymer research. | Technology Gateway | -7.900941 | 53.41881 |
| CAPPA - Centre for Advanced Photonics and Process Analysis - Cork | CAPPA’s researchers have a strong track record of engagement with industry. Early collaborations centred on activities in our Photonic Material & Devices Strand and as a consequence was primarily with the photonics secto… | Technology Gateway | -8.532258 | 51.88774 |
| COMAND - Interactive Media Technologies - Athlone | COMAND concentrates on the research and development of prospective interactive media technologies, based at the SRI Athlone Institute of Technology focuses on Cross Platform Applications, Mobile Media Cloud and 3D Sensi… | Technology Gateway | -7.905082 | 53.42073 |
| CREST - Centre for Research in Engineering Surface Technology - Dublin | The CREST Centre in Dublin Institute of Technology, is the only dedicated surface coatings laboratory on the Island of Ireland. It exists to serve the SMART economy by means of translating in-house fundamental knowledge … | Technology Gateway | -6.266324 | 53.33840 |
| IMaR - Intelligent Mechatronics and RFID - Tralee | In 2013 the IT Tralee was awarded Enterprise Ireland Technology Gateway funding (up to €1.2m over 5 years) to establish the IMaR Technology Gateway. The principal theme of the IMaR Technology Gateway is on the design and… | Technology Gateway | -9.689690 | 52.27192 |
| MiCRA - Microsensors for Clinical Research and Analysis - Dublin | MiCRA is an award winning Technology Gateway located in the Institute of Technology, Tallaght. The Gateway was established, through funding from Enterprise Ireland, to enable Industry access to the skills, expertise and … | Technology Gateway | -6.367307 | 53.28941 |
| PMBrc - Pharmaceutical & Molecular Biotechnology Research Centre - Waterford | The Pharmaceutical and Molecular Biotechnology Research Centre (PMBRC) is an applied research centre which aims to support the sustainable growth of the pharmaceutical and healthcare industry in the south east of Ireland… | Technology Gateway | -7.141660 | 52.24734 |
| SEAM - South Eastern Applied Materials Research Centre - Waterford | SEAM is an industry focussed applied research centre, providing innovative materials engineering solutions for companies from a wide range of sectors, including bio-medical devices, pharmaceuticals, micro-electronics, pr… | Technology Gateway | -7.136028 | 52.24613 |
| Shannon ABC - Nutraceuticals Research - Tralee/ Limerick | Shannon ABC Gateway in Institute of Technology Tralee, has on-going and expanding programmes to explore natural products for novel bioactive substances of value to the Healthcare, Forensic, Pharmaceutical, Food, Cosmeti… | Technology Gateway | -8.649413 | 52.67435 |
| NIMBUS - Embedded Computing and Software Systems - Cork | The NIMBUS Gateway based in the Nimbus Centre at CIT, has a team of 40+ hardware and software researchers working with companies who require technical expertise in Smart Technologies, Internet of Things and Cyber Physica… | Technology Gateway | -8.535970 | 51.88588 |
| WiSAR Lab - Wireless Sensor Technologies - Letterkenny | The WiSAR Lab is an Enterprise Ireland funded Technology Gateway (www.technologygateway.ie) based in the CoLab in the Letterkenny Institute of Technology (LYIT). The core objective of the WiSAR Gateway is to become a hub… | Technology Gateway | -7.720985 | 54.95204 |
| Teagasc Food Research Centre - Ashtown & Moorepark | The Food Programme focuses on quality, safety and food product innovation, with emphasis in Ashtown on meat and meat products, cereals and consumer foods and food industry support services Agri-Food Business and Spatial… | National Institutes and Facilities | -6.336622 | 53.38093 |
| ADAPT - Centre for Digital Content Technology | ADAPT research and technologies will help businesses in all sectors to manage, personalise and deliver digital content more effectively. | SFI Research Centre | -6.254577 | 53.34389 |
| iCRAG - Irish Centre for Research in Applied Geosciences | Introduction to iCRAG- Irish Centre for Research in Applied Geosciences | SFI Research Centre | -6.222805 | 53.30925 |
| CURAM SFI Research Centre for Medical Devices - Galway | CÚRAM aims to radically improve health outcomes for patients by developing ‘smart’ medical devices and implants. These devices are developed through collaborations with industry partners and hospital groups, to enable ra… | SFI Research Centre | -9.074015 | 53.29071 |
| CONNECT - The Centre for Future Networks and Communications - Dublin | The Centre for Future Networks and Communications (CONNECT) is a research centre for communications networking, services, applications and technologies. | SFI Research Centre | -6.250170 | 53.34221 |
| DPTC - The Dairy Processing Technology Centre | Introduction to DPTC - The Dairy Processing Technology Centre (DPTC) is an industry–academic collaborative research centre, hosted by the University of Limerick, with a research agenda driven by the long-term growth oppo… | Technology Centre | -8.575857 | 52.67499 |
| Marine Institute | Introduction to the Marine Institute. | National Institutes and Facilities | -8.976420 | 53.24823 |
| ICHEC - Irish Centre for High-End Computing | Introduction to ICHEC - Irish Centre for High-End Computing | National Institutes and Facilities | -6.241150 | 53.34181 |
| Tyndall National Institute | Introduction to Tyndall National Institute. | National Institutes and Facilities | -8.483326 | 51.89837 |
| NIBRT - National Institute for Bioprocessing Research & Training | Introduction to NIBRT - National Institute for Bioprocessing Research & Training | National Institutes and Facilities | -6.212018 | 53.30261 |
| Royal College of Surgeons Ireland (RCSI) | Since its foundation in 1784, RCSI has played a leadership role in both research and in Irish surgical and medical education. The College’s research vision is to improve human health through translational medical researc… | University TTO | -6.261964 | 53.33912 |
| Precision Engineering, Materials and Manufacturing research - Sligo | Technology Gateway | -8.464580 | 54.27685 | |
| MET Gateway - Medical & Engineering Technology - Galway | Technology Gateway | -9.004393 | 53.27638 | |
| Design and Applied Design Technology Gateway - Carlow | Technology Gateway | -6.937362 | 52.82773 | |
| BiOrbic Bioeconomy Research Centre - Dublin | BiOrbic Bioeconomy Research Centre harnesses the wealth of Ireland’s natural resources on land and in the sea for the development of a sustainable circular Irish bioeconomy, enabling vibrant sustainable communities.. | SFI Research Centre | -6.219077 | 53.30706 |
| CONFIRM - Smart Manufacturing Research Centre - Limerick | Smart manufacturing involves the complete convergence of IT systems and industrial automation systems. Confirm’s mission is to support the transformation of the Irish manufacturing sector to a smart manufacturing paradig… | SFI Research Centre | -8.576760 | 52.67256 |
| Future Neuro - Centre for Chronic and Rare Neurological Diseases - Dublin | Future-Neuro will develop novel therapeutics, diagnostics and e-health infrastructure for patients with chronic and rare neurological diseases of significant economic and societal burden. | SFI Research Centre | -6.262576 | 53.33897 |
| HRB - Health Research Board | Health Research Board Clinical Research Coordination Ireland (HRB CRCI) is an independent integrated national clinical research network, providing centralised support in the conduct of multicentre clinical trials (both c… | National Institutes and Facilities | -6.244775 | 53.33724 |
| I-Form Advanced Manufacturing Research Centre - Dublin | SFI Research Centre | -6.220654 | 53.30534 | |
| MTI - Meat Technology Ireland | Meat Technology Ireland (MTI) is an industry-led initiative that will build a strategic research and innovation base in beef and sheepmeat processing in Ireland. | Technology Centre | -6.336622 | 53.38072 |
| National College of Ireland (NCI) TTO | The NCI Technology Transfer office was set up to assist staff and students in the commercialisation of research which is supported by Enterprise Ireland and Knowledge Transfer Ireland under the Technology Transfer Streng… | University TTO | -6.243179 | 53.34882 |
| DIAS - The Dublin Institute for Advanced Studies (TTO) | DIAS, a unique institution in the Irish research landscape, has a role and focus to conduct scholarship and fundamental advanced research in specific disciplines. DIAS acts as a national hub for those disciplines and has… | Institute of Technology TTO | -6.245638 | 53.33134 |
| TSSG - Telecommunications Software & Systems Gateway | TSSG in Waterford Institute of Technology can assist you to unlock the potential of your business through the design and delivery of technology that empower’s your business to meet the demands of today’s customers. TSSG… | Technology Gateway | -7.139858 | 52.24607 |
| National College of Art & Design (NCAD) TTO | NCAD Origin8 was established in 2013 as our technology transfer office and client gateway. Our focus to date has been to commercialise close to market product design. NCAD Origin8 has had three campus company spin-outs,… | University TTO | -6.278675 | 53.34292 |
| Technological University Dublin (TU Dublin) TTO | TU Dublin hosts a thriving research community engaged in applying innovation and technology to solve the world’s most pressing challenges. With campuses in Dublin City, Tallaght and Blanchardstown. | University TTO | -6.278980 | 53.35321 |
| VistaMilk | The SFI VistaMilk Centre represents a unique collaboration between Agri-Food and information communications technology (ICT) research institutes and leading Irish/multinational food and ICT companies. | SFI Research Centre | -8.264160 | 52.16325 |
| APT – Advanced Processing Technology Research Centre Dublin | The Advanced Processing Technology Research Centre (APT), is a leading interdisciplinary research centre located in the Dublin City University for a world class materials and laser processing and advanced manufacturing r… | National Institutes and Facilities | -6.263190 | 53.38481 |
| CREDIT - Centre for Renewables and Energy - Dundalk | Technology Gateway | -6.540900 | 53.95093 |
Plotting Data
Setting up basic county map
The base map will be my map of Local Electoral Areas which is
available on GitHub and can be downloaded directly into R. We make a
couple of changes here, grouping areas by County using
group_by and summarise over
geometry, and we convert the coordinate reference system to
the Irish Transverse Mercator (ITM) which has EPSG code 2157 (the
initial CRS of lea_166 is ‘World Geodetic System 1984’ (WGS 84) which
has EPSG code 4326). The reason that we switch away from WGS 84 is that
in that reference system, the latitude scale is greater than the
longitude scale, e.g. a box drawn over Ireland which is one degree of
longitude wide and one degree of latitude high will appear as a tall
rectangle. With ITM the x and y scales (which are given in metres) are
similar. Note that plots of the map still has axes with showing degrees
longitude and latitude rather than metres.
county_map_itm <- st_read("https://raw.githubusercontent.com/brendanjodowd/maps/main/lea_166.geojson" , quiet=T) %>%
group_by(COUNTY) %>%
summarise(geometry = st_union(geometry)) %>%
st_transform(crs = 2157)
ggplot(county_map_itm) +
geom_sf()
Creating circles for inset
Before I plot the organisations from the Knowledge Transfer Ireland
website, I want to create a circular inset for Dublin, since many of the
organistaions are based there. This is done by creating a new sf layer
which is scaled and pushed eastwards. First we create a circle over
Dublin showing what area is to be included in the inset. This is done
using by choosing the centroid of Dublin as the centre (with the help of
st_centroid) and creating a circle around that point using
st_buffer with a radius of 30k (30,000 metres).
dublin_cntrd <- st_centroid(county_map_itm %>% filter(COUNTY=="Dublin"))
dub_circle_small <- dublin_cntrd %>%
st_buffer(30000)
ggplot(county_map_itm) +
geom_sf() +
geom_sf(data =dub_circle_small)
Now we’ll make a larger circle for where the inset is going to go. We
specify dub_x and dub_y which are the x-y
distances that will transform the scaled area eastwards and northwards,
and dub_scale which specifies the zoom level for the inset
(and the scale of dub_circle_big compared to
dub_circle_small )
dub_x <- 160000; dub_y <- 20000; dub_scale <- 4
# First take geometry of dub_circle_small
dub_circle_big <- dub_circle_small %>%
st_geometry()
# Translate it eastwards and northwards
dub_circle_big <- dub_circle_big + c(dub_x,dub_y)
# Scale it by dub_scale
dub_circle_big <- (dub_circle_big - st_centroid(dub_circle_big)) * dub_scale + st_centroid(dub_circle_big)
# Convert back into an sf object
dub_circle_big <- dub_circle_big %>%
st_as_sf(crs = 2157) %>%
rename(geometry=x)
ggplot(county_map_itm) +
geom_sf() +
geom_sf(data =dub_circle_small) +
geom_sf(data =dub_circle_big)
Creating map content for inset
What about the actual map of Dublin that will appear in the circular
inset? We produce that using st_intersection with arguments
of the original map (county_map_itm) and the small circle
around Dublin. We immediately create a copy of this to use later on, as
we would like to be able to see the shape of Dublin within the small
circle.
The inset is then translated and scaled in the same way that was done
for dub_circle_big above.
dub_inset <- st_intersection(county_map_itm, dub_circle_small) %>%
st_geometry()
dub_inset_small <- dub_inset # keep this copy to make grey area within small circle.
dub_inset <- dub_inset + c(dub_x,dub_y)
dub_inset <- (dub_inset - st_coordinates(st_centroid(dub_circle_big)) ) * dub_scale + st_coordinates(st_centroid(dub_circle_big))
dub_inset <- dub_inset %>% st_as_sf(crs = 2157) %>%
rename(geometry=x)At this point I would like to be able to draw two lines between the
small and big circles of my inset. These are external tangents. I have
written a function tangents that can produce these. It
takes as arguments the centre x and y coordinates of the first circle,
followed by its radius, followed by the same details for the second
circle. It returns a 4x2 dataframe where the first two rows have the x
and y coordinates for the first line and the last two rows have the x
and ys for the second tangent.
tangents <- function(c1x, c1y, c1r , c2x , c2y , c2r){
phi <- atan2((c2y-c1y) , (c2x - c1x)) + acos((c1r - c2r) / sqrt( ((c2x-c1x)^2) + ((c2y-c1y)^2) ) )
t1x <- c1x + c1r * cos(phi)
t1y <- c1y + c1r * sin(phi)
t2x <- c2x + c2r * cos(phi)
t2y <- c2y + c2r * sin(phi)
output_df <- data.frame(x = c(t1x , t2x) , y = c(t1y , t2y) )
phi <- atan2((c2y-c1y) , (c2x - c1x)) - acos((c1r - c2r) / sqrt( ((c2x-c1x)^2) + ((c2y-c1y)^2) ) )
t1x <- c1x + c1r * cos(phi)
t1y <- c1y + c1r * sin(phi)
t2x <- c2x + c2r * cos(phi)
t2y <- c2y + c2r * sin(phi)
output_df <- bind_rows(output_df , data.frame(x = c(t1x , t2x) , y = c(t1y , t2y) ))
rm(t1x ,t1y ,t2x , t2y)
output_df
}Here we use that tangents function, and convert the
output into two lines by adding a column called line which
is equal to 1 and 2, summarising over this and then converting into sf
lines using st_cast("LINESTRING").
# specify details of the small circle
c1x <- st_coordinates(dub_circle_small %>% st_centroid())[,1]
c1y <- st_coordinates(dub_circle_small %>% st_centroid())[,2]
c1r <- 30000
# specify details of the big circle
c2x <- st_coordinates(dub_circle_big %>% st_centroid())[,1]
c2y <- st_coordinates(dub_circle_big %>% st_centroid())[,2]
c2r <- 30000*dub_scale
# pop these details into the tangents function and convert into two sf lines.
tan_df <- tangents(c1x , c1y, c1r, c2x, c2y, c2r) %>%
st_as_sf(coords = c("x", "y") , crs = 2157) %>%
bind_cols(line = rep(1:2, each=2)) %>%
group_by(line) %>%
summarize(m = mean(line)) %>%
st_cast("LINESTRING")
ggplot(county_map_itm) +
geom_sf() +
geom_sf(data = dub_circle_small , fill=NA) +
geom_sf(data = dub_circle_big) +
geom_sf(data = dub_inset) +
geom_sf(data = tan_df)
Finding and transposing hubs in the inset
We have a little work to do with our hub data before we can plot it. We have to convert it into an sf object using its current coordinate reference system (WGS 84) and then convert to ITM.
hub_data <- hub_data %>%
st_as_sf(coords = c("long", "lat"), crs = 4326) %>%
st_transform(crs=2157)
ggplot(county_map_itm) +
geom_sf() +
geom_sf( data =dub_circle_small , fill=NA) +
geom_sf( data =dub_circle_big) +
geom_sf( data =dub_inset) +
geom_sf(data = tan_df) +
geom_sf(data = hub_data)
Now I want to find out which organisations are based within the
Dublin circle, and transpose these into the zoomed inset. We create a
dataframe for the hubs in the small circle called hubs_dub.
Initially this dataframe contains two columns, row.id which
is just equal to 1, indicating that these organisations are in the first
element of the first argument (the small circle), and
col.id which is an integer referring to the elements from
the second argument (the hub coordinates). Thus we have lost the details
of the actual hubs inside the small circle. We can join these on from
the hub_data dataframe by creating within it a column
called col.id which is equal to the row number within that
dataframe.
# dataframe containing row ids for organisations within the small circle.
hubs_dub <- st_contains(dub_circle_small , hub_data) %>%
data.frame()
# join on the details from hub_data
hubs_dub <- inner_join(hub_data %>%
select(name, type) %>%
mutate(col.id = row_number()) ,
hubs_dub) %>%
# transpose ...
mutate(geometry = geometry + c(dub_x,dub_y)) %>%
# ... and scale
mutate(geometry = (geometry-st_coordinates(st_centroid(dub_circle_big)) )*dub_scale + st_coordinates(st_centroid(dub_circle_big))) %>%
select(name , type )Now we can recreate the dataframe hub_data by including
all of the organisations which are not in the small circle, and then
adding all of the organisations which have been transposed to the inset
(the ones which were inside the small circle are therefore
excluded).
hub_data <- bind_rows(hub_data %>% filter(! name %in% (hubs_dub %>% pull(name))),
hubs_dub)
ggplot(county_map_itm) +
geom_sf() +
geom_sf(data = dub_circle_small , fill=NA) +
geom_sf(data = dub_circle_big) +
geom_sf(data = dub_inset) +
geom_sf(data = tan_df) +
geom_sf(data = hub_data)
Creating hexagonal grid
Now I want to create a hexagonal grid over the map, and later we will
assign each of the organisations to a specific hexagon in this grid. To
make this hexagonal grid we create a single shape which is large enough
to cover the whole area in which organisations are located (including
those in the transposed inset), and we then we use
st_make_grid with square = FALSE to make a
hexagonal grid over that area. The single shape we start off with is a
triangle which is simple to create. It has its lower left corner at
coordinates (400,000, 500,000) which is off the south-west of Cork and
Kerry, and it has a height and width of 600km, which is large enough to
cover the area we want. Then hex_grid is created with
square = FALSE as mentioned already to create a hexagonal
grid, and n equal to c(80, 80), which means
that the grid will be 80 hexagons across and 80 hexagons high. I also
make a variable called hex_num so that each hexagon has a
unique id.
x0 <- 400000; y0 <- 500000; d0 <- 600000
triangle = st_sfc(st_polygon(list(rbind(c(x0,y0), c(x0+d0,y0), c(x0+d0,y0+d0), c(x0,y0)))))
hex_grid <- st_make_grid(triangle,
square = FALSE ,
n = c(80, 80)) %>%
st_as_sf(crs =2157) %>%
mutate(hex_num=row_number())
rm(triangle , x0,y0,d0)
ggplot(county_map_itm) +
geom_sf() +
geom_sf(data = dub_circle_small , fill=NA) +
geom_sf(data = dub_circle_big) +
geom_sf(data = dub_inset) +
geom_sf(data = tan_df) +
geom_sf(data = hex_grid , colour="red" , fill=NA) +
geom_sf(data = hub_data)
Assigning organisations to hexagons
Before I assign each organisation to a hexagon I need to find the
coordinates of the centre of each hexagon. I create that data in a
dataframe called hex_centres.
hex_centres <- hex_grid %>%
st_centroid() %>%
rename(coords=1) %>%
mutate(x = st_coordinates(.)[,1], y = st_coordinates(.)[,2]) %>%
st_drop_geometry()| hex_num | x | y |
|---|---|---|
| 1 | 396250 | 506495.2 |
| 2 | 396250 | 519485.6 |
| 3 | 396250 | 532476.0 |
| 4 | 396250 | 545466.3 |
| 5 | 396250 | 558456.7 |
| 6 | 396250 | 571447.1 |
| 7 | 396250 | 584437.5 |
| 8 | 396250 | 597427.9 |
| 9 | 396250 | 610418.2 |
| 10 | 396250 | 623408.6 |
| 11 | 396250 | 636399.0 |
| 12 | 396250 | 649389.4 |
| 13 | 396250 | 662379.8 |
| 14 | 396250 | 675370.1 |
| 15 | 396250 | 688360.5 |
| 16 | 396250 | 701350.9 |
| 17 | 396250 | 714341.3 |
| 18 | 396250 | 727331.7 |
| 19 | 396250 | 740322.0 |
| 20 | 396250 | 753312.4 |
| 21 | 396250 | 766302.8 |
| 22 | 396250 | 779293.2 |
| 23 | 396250 | 792283.6 |
| 24 | 396250 | 805274.0 |
| 25 | 396250 | 818264.3 |
| 26 | 396250 | 831254.7 |
| 27 | 396250 | 844245.1 |
| 28 | 396250 | 857235.5 |
| 29 | 396250 | 870225.9 |
| 30 | 396250 | 883216.2 |
| 31 | 396250 | 896206.6 |
| 32 | 396250 | 909197.0 |
| 33 | 396250 | 922187.4 |
| 34 | 396250 | 935177.8 |
| 35 | 396250 | 948168.1 |
| 36 | 396250 | 961158.5 |
| 37 | 396250 | 974148.9 |
| 38 | 396250 | 987139.3 |
| 39 | 396250 | 1000129.7 |
| 40 | 396250 | 1013120.1 |
| 41 | 396250 | 1026110.4 |
| 42 | 396250 | 1039100.8 |
| 43 | 396250 | 1052091.2 |
| 44 | 396250 | 1065081.6 |
| 45 | 396250 | 1078072.0 |
| 46 | 396250 | 1091062.3 |
| 47 | 396250 | 1104052.7 |
| 48 | 400000 | 500000.0 |
| 49 | 400000 | 512990.4 |
| 50 | 400000 | 525980.8 |
| 51 | 400000 | 538971.1 |
| 52 | 400000 | 551961.5 |
| 53 | 400000 | 564951.9 |
| 54 | 400000 | 577942.3 |
| 55 | 400000 | 590932.7 |
| 56 | 400000 | 603923.0 |
| 57 | 400000 | 616913.4 |
| 58 | 400000 | 629903.8 |
| 59 | 400000 | 642894.2 |
| 60 | 400000 | 655884.6 |
| 61 | 400000 | 668875.0 |
| 62 | 400000 | 681865.3 |
| 63 | 400000 | 694855.7 |
| 64 | 400000 | 707846.1 |
| 65 | 400000 | 720836.5 |
| 66 | 400000 | 733826.9 |
| 67 | 400000 | 746817.2 |
| 68 | 400000 | 759807.6 |
| 69 | 400000 | 772798.0 |
| 70 | 400000 | 785788.4 |
| 71 | 400000 | 798778.8 |
| 72 | 400000 | 811769.1 |
| 73 | 400000 | 824759.5 |
| 74 | 400000 | 837749.9 |
| 75 | 400000 | 850740.3 |
| 76 | 400000 | 863730.7 |
| 77 | 400000 | 876721.1 |
| 78 | 400000 | 889711.4 |
| 79 | 400000 | 902701.8 |
| 80 | 400000 | 915692.2 |
| 81 | 400000 | 928682.6 |
| 82 | 400000 | 941673.0 |
| 83 | 400000 | 954663.3 |
| 84 | 400000 | 967653.7 |
| 85 | 400000 | 980644.1 |
| 86 | 400000 | 993634.5 |
| 87 | 400000 | 1006624.9 |
| 88 | 400000 | 1019615.2 |
| 89 | 400000 | 1032605.6 |
| 90 | 400000 | 1045596.0 |
| 91 | 400000 | 1058586.4 |
| 92 | 400000 | 1071576.8 |
| 93 | 400000 | 1084567.1 |
| 94 | 400000 | 1097557.5 |
| 95 | 403750 | 506495.2 |
| 96 | 403750 | 519485.6 |
| 97 | 403750 | 532476.0 |
| 98 | 403750 | 545466.3 |
| 99 | 403750 | 558456.7 |
| 100 | 403750 | 571447.1 |
| 101 | 403750 | 584437.5 |
| 102 | 403750 | 597427.9 |
| 103 | 403750 | 610418.2 |
| 104 | 403750 | 623408.6 |
| 105 | 403750 | 636399.0 |
| 106 | 403750 | 649389.4 |
| 107 | 403750 | 662379.8 |
| 108 | 403750 | 675370.1 |
| 109 | 403750 | 688360.5 |
| 110 | 403750 | 701350.9 |
| 111 | 403750 | 714341.3 |
| 112 | 403750 | 727331.7 |
| 113 | 403750 | 740322.0 |
| 114 | 403750 | 753312.4 |
| 115 | 403750 | 766302.8 |
| 116 | 403750 | 779293.2 |
| 117 | 403750 | 792283.6 |
| 118 | 403750 | 805274.0 |
| 119 | 403750 | 818264.3 |
| 120 | 403750 | 831254.7 |
| 121 | 403750 | 844245.1 |
| 122 | 403750 | 857235.5 |
| 123 | 403750 | 870225.9 |
| 124 | 403750 | 883216.2 |
| 125 | 403750 | 896206.6 |
| 126 | 403750 | 909197.0 |
| 127 | 403750 | 922187.4 |
| 128 | 403750 | 935177.8 |
| 129 | 403750 | 948168.1 |
| 130 | 403750 | 961158.5 |
| 131 | 403750 | 974148.9 |
| 132 | 403750 | 987139.3 |
| 133 | 403750 | 1000129.7 |
| 134 | 403750 | 1013120.1 |
| 135 | 403750 | 1026110.4 |
| 136 | 403750 | 1039100.8 |
| 137 | 403750 | 1052091.2 |
| 138 | 403750 | 1065081.6 |
| 139 | 403750 | 1078072.0 |
| 140 | 403750 | 1091062.3 |
| 141 | 403750 | 1104052.7 |
| 142 | 407500 | 500000.0 |
| 143 | 407500 | 512990.4 |
| 144 | 407500 | 525980.8 |
| 145 | 407500 | 538971.1 |
| 146 | 407500 | 551961.5 |
| 147 | 407500 | 564951.9 |
| 148 | 407500 | 577942.3 |
| 149 | 407500 | 590932.7 |
| 150 | 407500 | 603923.0 |
| 151 | 407500 | 616913.4 |
| 152 | 407500 | 629903.8 |
| 153 | 407500 | 642894.2 |
| 154 | 407500 | 655884.6 |
| 155 | 407500 | 668875.0 |
| 156 | 407500 | 681865.3 |
| 157 | 407500 | 694855.7 |
| 158 | 407500 | 707846.1 |
| 159 | 407500 | 720836.5 |
| 160 | 407500 | 733826.9 |
| 161 | 407500 | 746817.2 |
| 162 | 407500 | 759807.6 |
| 163 | 407500 | 772798.0 |
| 164 | 407500 | 785788.4 |
| 165 | 407500 | 798778.8 |
| 166 | 407500 | 811769.1 |
| 167 | 407500 | 824759.5 |
| 168 | 407500 | 837749.9 |
| 169 | 407500 | 850740.3 |
| 170 | 407500 | 863730.7 |
| 171 | 407500 | 876721.1 |
| 172 | 407500 | 889711.4 |
| 173 | 407500 | 902701.8 |
| 174 | 407500 | 915692.2 |
| 175 | 407500 | 928682.6 |
| 176 | 407500 | 941673.0 |
| 177 | 407500 | 954663.3 |
| 178 | 407500 | 967653.7 |
| 179 | 407500 | 980644.1 |
| 180 | 407500 | 993634.5 |
| 181 | 407500 | 1006624.9 |
| 182 | 407500 | 1019615.2 |
| 183 | 407500 | 1032605.6 |
| 184 | 407500 | 1045596.0 |
| 185 | 407500 | 1058586.4 |
| 186 | 407500 | 1071576.8 |
| 187 | 407500 | 1084567.1 |
| 188 | 407500 | 1097557.5 |
| 189 | 411250 | 506495.2 |
| 190 | 411250 | 519485.6 |
| 191 | 411250 | 532476.0 |
| 192 | 411250 | 545466.3 |
| 193 | 411250 | 558456.7 |
| 194 | 411250 | 571447.1 |
| 195 | 411250 | 584437.5 |
| 196 | 411250 | 597427.9 |
| 197 | 411250 | 610418.2 |
| 198 | 411250 | 623408.6 |
| 199 | 411250 | 636399.0 |
| 200 | 411250 | 649389.4 |
| 201 | 411250 | 662379.8 |
| 202 | 411250 | 675370.1 |
| 203 | 411250 | 688360.5 |
| 204 | 411250 | 701350.9 |
| 205 | 411250 | 714341.3 |
| 206 | 411250 | 727331.7 |
| 207 | 411250 | 740322.0 |
| 208 | 411250 | 753312.4 |
| 209 | 411250 | 766302.8 |
| 210 | 411250 | 779293.2 |
| 211 | 411250 | 792283.6 |
| 212 | 411250 | 805274.0 |
| 213 | 411250 | 818264.3 |
| 214 | 411250 | 831254.7 |
| 215 | 411250 | 844245.1 |
| 216 | 411250 | 857235.5 |
| 217 | 411250 | 870225.9 |
| 218 | 411250 | 883216.2 |
| 219 | 411250 | 896206.6 |
| 220 | 411250 | 909197.0 |
| 221 | 411250 | 922187.4 |
| 222 | 411250 | 935177.8 |
| 223 | 411250 | 948168.1 |
| 224 | 411250 | 961158.5 |
| 225 | 411250 | 974148.9 |
| 226 | 411250 | 987139.3 |
| 227 | 411250 | 1000129.7 |
| 228 | 411250 | 1013120.1 |
| 229 | 411250 | 1026110.4 |
| 230 | 411250 | 1039100.8 |
| 231 | 411250 | 1052091.2 |
| 232 | 411250 | 1065081.6 |
| 233 | 411250 | 1078072.0 |
| 234 | 411250 | 1091062.3 |
| 235 | 411250 | 1104052.7 |
| 236 | 415000 | 500000.0 |
| 237 | 415000 | 512990.4 |
| 238 | 415000 | 525980.8 |
| 239 | 415000 | 538971.1 |
| 240 | 415000 | 551961.5 |
| 241 | 415000 | 564951.9 |
| 242 | 415000 | 577942.3 |
| 243 | 415000 | 590932.7 |
| 244 | 415000 | 603923.0 |
| 245 | 415000 | 616913.4 |
| 246 | 415000 | 629903.8 |
| 247 | 415000 | 642894.2 |
| 248 | 415000 | 655884.6 |
| 249 | 415000 | 668875.0 |
| 250 | 415000 | 681865.3 |
| 251 | 415000 | 694855.7 |
| 252 | 415000 | 707846.1 |
| 253 | 415000 | 720836.5 |
| 254 | 415000 | 733826.9 |
| 255 | 415000 | 746817.2 |
| 256 | 415000 | 759807.6 |
| 257 | 415000 | 772798.0 |
| 258 | 415000 | 785788.4 |
| 259 | 415000 | 798778.8 |
| 260 | 415000 | 811769.1 |
| 261 | 415000 | 824759.5 |
| 262 | 415000 | 837749.9 |
| 263 | 415000 | 850740.3 |
| 264 | 415000 | 863730.7 |
| 265 | 415000 | 876721.1 |
| 266 | 415000 | 889711.4 |
| 267 | 415000 | 902701.8 |
| 268 | 415000 | 915692.2 |
| 269 | 415000 | 928682.6 |
| 270 | 415000 | 941673.0 |
| 271 | 415000 | 954663.3 |
| 272 | 415000 | 967653.7 |
| 273 | 415000 | 980644.1 |
| 274 | 415000 | 993634.5 |
| 275 | 415000 | 1006624.9 |
| 276 | 415000 | 1019615.2 |
| 277 | 415000 | 1032605.6 |
| 278 | 415000 | 1045596.0 |
| 279 | 415000 | 1058586.4 |
| 280 | 415000 | 1071576.8 |
| 281 | 415000 | 1084567.1 |
| 282 | 415000 | 1097557.5 |
| 283 | 418750 | 506495.2 |
| 284 | 418750 | 519485.6 |
| 285 | 418750 | 532476.0 |
| 286 | 418750 | 545466.3 |
| 287 | 418750 | 558456.7 |
| 288 | 418750 | 571447.1 |
| 289 | 418750 | 584437.5 |
| 290 | 418750 | 597427.9 |
| 291 | 418750 | 610418.2 |
| 292 | 418750 | 623408.6 |
| 293 | 418750 | 636399.0 |
| 294 | 418750 | 649389.4 |
| 295 | 418750 | 662379.8 |
| 296 | 418750 | 675370.1 |
| 297 | 418750 | 688360.5 |
| 298 | 418750 | 701350.9 |
| 299 | 418750 | 714341.3 |
| 300 | 418750 | 727331.7 |
| 301 | 418750 | 740322.0 |
| 302 | 418750 | 753312.4 |
| 303 | 418750 | 766302.8 |
| 304 | 418750 | 779293.2 |
| 305 | 418750 | 792283.6 |
| 306 | 418750 | 805274.0 |
| 307 | 418750 | 818264.3 |
| 308 | 418750 | 831254.7 |
| 309 | 418750 | 844245.1 |
| 310 | 418750 | 857235.5 |
| 311 | 418750 | 870225.9 |
| 312 | 418750 | 883216.2 |
| 313 | 418750 | 896206.6 |
| 314 | 418750 | 909197.0 |
| 315 | 418750 | 922187.4 |
| 316 | 418750 | 935177.8 |
| 317 | 418750 | 948168.1 |
| 318 | 418750 | 961158.5 |
| 319 | 418750 | 974148.9 |
| 320 | 418750 | 987139.3 |
| 321 | 418750 | 1000129.7 |
| 322 | 418750 | 1013120.1 |
| 323 | 418750 | 1026110.4 |
| 324 | 418750 | 1039100.8 |
| 325 | 418750 | 1052091.2 |
| 326 | 418750 | 1065081.6 |
| 327 | 418750 | 1078072.0 |
| 328 | 418750 | 1091062.3 |
| 329 | 418750 | 1104052.7 |
| 330 | 422500 | 500000.0 |
| 331 | 422500 | 512990.4 |
| 332 | 422500 | 525980.8 |
| 333 | 422500 | 538971.1 |
| 334 | 422500 | 551961.5 |
| 335 | 422500 | 564951.9 |
| 336 | 422500 | 577942.3 |
| 337 | 422500 | 590932.7 |
| 338 | 422500 | 603923.0 |
| 339 | 422500 | 616913.4 |
| 340 | 422500 | 629903.8 |
| 341 | 422500 | 642894.2 |
| 342 | 422500 | 655884.6 |
| 343 | 422500 | 668875.0 |
| 344 | 422500 | 681865.3 |
| 345 | 422500 | 694855.7 |
| 346 | 422500 | 707846.1 |
| 347 | 422500 | 720836.5 |
| 348 | 422500 | 733826.9 |
| 349 | 422500 | 746817.2 |
| 350 | 422500 | 759807.6 |
| 351 | 422500 | 772798.0 |
| 352 | 422500 | 785788.4 |
| 353 | 422500 | 798778.8 |
| 354 | 422500 | 811769.1 |
| 355 | 422500 | 824759.5 |
| 356 | 422500 | 837749.9 |
| 357 | 422500 | 850740.3 |
| 358 | 422500 | 863730.7 |
| 359 | 422500 | 876721.1 |
| 360 | 422500 | 889711.4 |
| 361 | 422500 | 902701.8 |
| 362 | 422500 | 915692.2 |
| 363 | 422500 | 928682.6 |
| 364 | 422500 | 941673.0 |
| 365 | 422500 | 954663.3 |
| 366 | 422500 | 967653.7 |
| 367 | 422500 | 980644.1 |
| 368 | 422500 | 993634.5 |
| 369 | 422500 | 1006624.9 |
| 370 | 422500 | 1019615.2 |
| 371 | 422500 | 1032605.6 |
| 372 | 422500 | 1045596.0 |
| 373 | 422500 | 1058586.4 |
| 374 | 422500 | 1071576.8 |
| 375 | 422500 | 1084567.1 |
| 376 | 422500 | 1097557.5 |
| 377 | 426250 | 506495.2 |
| 378 | 426250 | 519485.6 |
| 379 | 426250 | 532476.0 |
| 380 | 426250 | 545466.3 |
| 381 | 426250 | 558456.7 |
| 382 | 426250 | 571447.1 |
| 383 | 426250 | 584437.5 |
| 384 | 426250 | 597427.9 |
| 385 | 426250 | 610418.2 |
| 386 | 426250 | 623408.6 |
| 387 | 426250 | 636399.0 |
| 388 | 426250 | 649389.4 |
| 389 | 426250 | 662379.8 |
| 390 | 426250 | 675370.1 |
| 391 | 426250 | 688360.5 |
| 392 | 426250 | 701350.9 |
| 393 | 426250 | 714341.3 |
| 394 | 426250 | 727331.7 |
| 395 | 426250 | 740322.0 |
| 396 | 426250 | 753312.4 |
| 397 | 426250 | 766302.8 |
| 398 | 426250 | 779293.2 |
| 399 | 426250 | 792283.6 |
| 400 | 426250 | 805274.0 |
| 401 | 426250 | 818264.3 |
| 402 | 426250 | 831254.7 |
| 403 | 426250 | 844245.1 |
| 404 | 426250 | 857235.5 |
| 405 | 426250 | 870225.9 |
| 406 | 426250 | 883216.2 |
| 407 | 426250 | 896206.6 |
| 408 | 426250 | 909197.0 |
| 409 | 426250 | 922187.4 |
| 410 | 426250 | 935177.8 |
| 411 | 426250 | 948168.1 |
| 412 | 426250 | 961158.5 |
| 413 | 426250 | 974148.9 |
| 414 | 426250 | 987139.3 |
| 415 | 426250 | 1000129.7 |
| 416 | 426250 | 1013120.1 |
| 417 | 426250 | 1026110.4 |
| 418 | 426250 | 1039100.8 |
| 419 | 426250 | 1052091.2 |
| 420 | 426250 | 1065081.6 |
| 421 | 426250 | 1078072.0 |
| 422 | 426250 | 1091062.3 |
| 423 | 426250 | 1104052.7 |
| 424 | 430000 | 500000.0 |
| 425 | 430000 | 512990.4 |
| 426 | 430000 | 525980.8 |
| 427 | 430000 | 538971.1 |
| 428 | 430000 | 551961.5 |
| 429 | 430000 | 564951.9 |
| 430 | 430000 | 577942.3 |
| 431 | 430000 | 590932.7 |
| 432 | 430000 | 603923.0 |
| 433 | 430000 | 616913.4 |
| 434 | 430000 | 629903.8 |
| 435 | 430000 | 642894.2 |
| 436 | 430000 | 655884.6 |
| 437 | 430000 | 668875.0 |
| 438 | 430000 | 681865.3 |
| 439 | 430000 | 694855.7 |
| 440 | 430000 | 707846.1 |
| 441 | 430000 | 720836.5 |
| 442 | 430000 | 733826.9 |
| 443 | 430000 | 746817.2 |
| 444 | 430000 | 759807.6 |
| 445 | 430000 | 772798.0 |
| 446 | 430000 | 785788.4 |
| 447 | 430000 | 798778.8 |
| 448 | 430000 | 811769.1 |
| 449 | 430000 | 824759.5 |
| 450 | 430000 | 837749.9 |
| 451 | 430000 | 850740.3 |
| 452 | 430000 | 863730.7 |
| 453 | 430000 | 876721.1 |
| 454 | 430000 | 889711.4 |
| 455 | 430000 | 902701.8 |
| 456 | 430000 | 915692.2 |
| 457 | 430000 | 928682.6 |
| 458 | 430000 | 941673.0 |
| 459 | 430000 | 954663.3 |
| 460 | 430000 | 967653.7 |
| 461 | 430000 | 980644.1 |
| 462 | 430000 | 993634.5 |
| 463 | 430000 | 1006624.9 |
| 464 | 430000 | 1019615.2 |
| 465 | 430000 | 1032605.6 |
| 466 | 430000 | 1045596.0 |
| 467 | 430000 | 1058586.4 |
| 468 | 430000 | 1071576.8 |
| 469 | 430000 | 1084567.1 |
| 470 | 430000 | 1097557.5 |
| 471 | 433750 | 506495.2 |
| 472 | 433750 | 519485.6 |
| 473 | 433750 | 532476.0 |
| 474 | 433750 | 545466.3 |
| 475 | 433750 | 558456.7 |
| 476 | 433750 | 571447.1 |
| 477 | 433750 | 584437.5 |
| 478 | 433750 | 597427.9 |
| 479 | 433750 | 610418.2 |
| 480 | 433750 | 623408.6 |
| 481 | 433750 | 636399.0 |
| 482 | 433750 | 649389.4 |
| 483 | 433750 | 662379.8 |
| 484 | 433750 | 675370.1 |
| 485 | 433750 | 688360.5 |
| 486 | 433750 | 701350.9 |
| 487 | 433750 | 714341.3 |
| 488 | 433750 | 727331.7 |
| 489 | 433750 | 740322.0 |
| 490 | 433750 | 753312.4 |
| 491 | 433750 | 766302.8 |
| 492 | 433750 | 779293.2 |
| 493 | 433750 | 792283.6 |
| 494 | 433750 | 805274.0 |
| 495 | 433750 | 818264.3 |
| 496 | 433750 | 831254.7 |
| 497 | 433750 | 844245.1 |
| 498 | 433750 | 857235.5 |
| 499 | 433750 | 870225.9 |
| 500 | 433750 | 883216.2 |
| 501 | 433750 | 896206.6 |
| 502 | 433750 | 909197.0 |
| 503 | 433750 | 922187.4 |
| 504 | 433750 | 935177.8 |
| 505 | 433750 | 948168.1 |
| 506 | 433750 | 961158.5 |
| 507 | 433750 | 974148.9 |
| 508 | 433750 | 987139.3 |
| 509 | 433750 | 1000129.7 |
| 510 | 433750 | 1013120.1 |
| 511 | 433750 | 1026110.4 |
| 512 | 433750 | 1039100.8 |
| 513 | 433750 | 1052091.2 |
| 514 | 433750 | 1065081.6 |
| 515 | 433750 | 1078072.0 |
| 516 | 433750 | 1091062.3 |
| 517 | 433750 | 1104052.7 |
| 518 | 437500 | 500000.0 |
| 519 | 437500 | 512990.4 |
| 520 | 437500 | 525980.8 |
| 521 | 437500 | 538971.1 |
| 522 | 437500 | 551961.5 |
| 523 | 437500 | 564951.9 |
| 524 | 437500 | 577942.3 |
| 525 | 437500 | 590932.7 |
| 526 | 437500 | 603923.0 |
| 527 | 437500 | 616913.4 |
| 528 | 437500 | 629903.8 |
| 529 | 437500 | 642894.2 |
| 530 | 437500 | 655884.6 |
| 531 | 437500 | 668875.0 |
| 532 | 437500 | 681865.3 |
| 533 | 437500 | 694855.7 |
| 534 | 437500 | 707846.1 |
| 535 | 437500 | 720836.5 |
| 536 | 437500 | 733826.9 |
| 537 | 437500 | 746817.2 |
| 538 | 437500 | 759807.6 |
| 539 | 437500 | 772798.0 |
| 540 | 437500 | 785788.4 |
| 541 | 437500 | 798778.8 |
| 542 | 437500 | 811769.1 |
| 543 | 437500 | 824759.5 |
| 544 | 437500 | 837749.9 |
| 545 | 437500 | 850740.3 |
| 546 | 437500 | 863730.7 |
| 547 | 437500 | 876721.1 |
| 548 | 437500 | 889711.4 |
| 549 | 437500 | 902701.8 |
| 550 | 437500 | 915692.2 |
| 551 | 437500 | 928682.6 |
| 552 | 437500 | 941673.0 |
| 553 | 437500 | 954663.3 |
| 554 | 437500 | 967653.7 |
| 555 | 437500 | 980644.1 |
| 556 | 437500 | 993634.5 |
| 557 | 437500 | 1006624.9 |
| 558 | 437500 | 1019615.2 |
| 559 | 437500 | 1032605.6 |
| 560 | 437500 | 1045596.0 |
| 561 | 437500 | 1058586.4 |
| 562 | 437500 | 1071576.8 |
| 563 | 437500 | 1084567.1 |
| 564 | 437500 | 1097557.5 |
| 565 | 441250 | 506495.2 |
| 566 | 441250 | 519485.6 |
| 567 | 441250 | 532476.0 |
| 568 | 441250 | 545466.3 |
| 569 | 441250 | 558456.7 |
| 570 | 441250 | 571447.1 |
| 571 | 441250 | 584437.5 |
| 572 | 441250 | 597427.9 |
| 573 | 441250 | 610418.2 |
| 574 | 441250 | 623408.6 |
| 575 | 441250 | 636399.0 |
| 576 | 441250 | 649389.4 |
| 577 | 441250 | 662379.8 |
| 578 | 441250 | 675370.1 |
| 579 | 441250 | 688360.5 |
| 580 | 441250 | 701350.9 |
| 581 | 441250 | 714341.3 |
| 582 | 441250 | 727331.7 |
| 583 | 441250 | 740322.0 |
| 584 | 441250 | 753312.4 |
| 585 | 441250 | 766302.8 |
| 586 | 441250 | 779293.2 |
| 587 | 441250 | 792283.6 |
| 588 | 441250 | 805274.0 |
| 589 | 441250 | 818264.3 |
| 590 | 441250 | 831254.7 |
| 591 | 441250 | 844245.1 |
| 592 | 441250 | 857235.5 |
| 593 | 441250 | 870225.9 |
| 594 | 441250 | 883216.2 |
| 595 | 441250 | 896206.6 |
| 596 | 441250 | 909197.0 |
| 597 | 441250 | 922187.4 |
| 598 | 441250 | 935177.8 |
| 599 | 441250 | 948168.1 |
| 600 | 441250 | 961158.5 |
| 601 | 441250 | 974148.9 |
| 602 | 441250 | 987139.3 |
| 603 | 441250 | 1000129.7 |
| 604 | 441250 | 1013120.1 |
| 605 | 441250 | 1026110.4 |
| 606 | 441250 | 1039100.8 |
| 607 | 441250 | 1052091.2 |
| 608 | 441250 | 1065081.6 |
| 609 | 441250 | 1078072.0 |
| 610 | 441250 | 1091062.3 |
| 611 | 441250 | 1104052.7 |
| 612 | 445000 | 500000.0 |
| 613 | 445000 | 512990.4 |
| 614 | 445000 | 525980.8 |
| 615 | 445000 | 538971.1 |
| 616 | 445000 | 551961.5 |
| 617 | 445000 | 564951.9 |
| 618 | 445000 | 577942.3 |
| 619 | 445000 | 590932.7 |
| 620 | 445000 | 603923.0 |
| 621 | 445000 | 616913.4 |
| 622 | 445000 | 629903.8 |
| 623 | 445000 | 642894.2 |
| 624 | 445000 | 655884.6 |
| 625 | 445000 | 668875.0 |
| 626 | 445000 | 681865.3 |
| 627 | 445000 | 694855.7 |
| 628 | 445000 | 707846.1 |
| 629 | 445000 | 720836.5 |
| 630 | 445000 | 733826.9 |
| 631 | 445000 | 746817.2 |
| 632 | 445000 | 759807.6 |
| 633 | 445000 | 772798.0 |
| 634 | 445000 | 785788.4 |
| 635 | 445000 | 798778.8 |
| 636 | 445000 | 811769.1 |
| 637 | 445000 | 824759.5 |
| 638 | 445000 | 837749.9 |
| 639 | 445000 | 850740.3 |
| 640 | 445000 | 863730.7 |
| 641 | 445000 | 876721.1 |
| 642 | 445000 | 889711.4 |
| 643 | 445000 | 902701.8 |
| 644 | 445000 | 915692.2 |
| 645 | 445000 | 928682.6 |
| 646 | 445000 | 941673.0 |
| 647 | 445000 | 954663.3 |
| 648 | 445000 | 967653.7 |
| 649 | 445000 | 980644.1 |
| 650 | 445000 | 993634.5 |
| 651 | 445000 | 1006624.9 |
| 652 | 445000 | 1019615.2 |
| 653 | 445000 | 1032605.6 |
| 654 | 445000 | 1045596.0 |
| 655 | 445000 | 1058586.4 |
| 656 | 445000 | 1071576.8 |
| 657 | 445000 | 1084567.1 |
| 658 | 445000 | 1097557.5 |
| 659 | 448750 | 506495.2 |
| 660 | 448750 | 519485.6 |
| 661 | 448750 | 532476.0 |
| 662 | 448750 | 545466.3 |
| 663 | 448750 | 558456.7 |
| 664 | 448750 | 571447.1 |
| 665 | 448750 | 584437.5 |
| 666 | 448750 | 597427.9 |
| 667 | 448750 | 610418.2 |
| 668 | 448750 | 623408.6 |
| 669 | 448750 | 636399.0 |
| 670 | 448750 | 649389.4 |
| 671 | 448750 | 662379.8 |
| 672 | 448750 | 675370.1 |
| 673 | 448750 | 688360.5 |
| 674 | 448750 | 701350.9 |
| 675 | 448750 | 714341.3 |
| 676 | 448750 | 727331.7 |
| 677 | 448750 | 740322.0 |
| 678 | 448750 | 753312.4 |
| 679 | 448750 | 766302.8 |
| 680 | 448750 | 779293.2 |
| 681 | 448750 | 792283.6 |
| 682 | 448750 | 805274.0 |
| 683 | 448750 | 818264.3 |
| 684 | 448750 | 831254.7 |
| 685 | 448750 | 844245.1 |
| 686 | 448750 | 857235.5 |
| 687 | 448750 | 870225.9 |
| 688 | 448750 | 883216.2 |
| 689 | 448750 | 896206.6 |
| 690 | 448750 | 909197.0 |
| 691 | 448750 | 922187.4 |
| 692 | 448750 | 935177.8 |
| 693 | 448750 | 948168.1 |
| 694 | 448750 | 961158.5 |
| 695 | 448750 | 974148.9 |
| 696 | 448750 | 987139.3 |
| 697 | 448750 | 1000129.7 |
| 698 | 448750 | 1013120.1 |
| 699 | 448750 | 1026110.4 |
| 700 | 448750 | 1039100.8 |
| 701 | 448750 | 1052091.2 |
| 702 | 448750 | 1065081.6 |
| 703 | 448750 | 1078072.0 |
| 704 | 448750 | 1091062.3 |
| 705 | 448750 | 1104052.7 |
| 706 | 452500 | 500000.0 |
| 707 | 452500 | 512990.4 |
| 708 | 452500 | 525980.8 |
| 709 | 452500 | 538971.1 |
| 710 | 452500 | 551961.5 |
| 711 | 452500 | 564951.9 |
| 712 | 452500 | 577942.3 |
| 713 | 452500 | 590932.7 |
| 714 | 452500 | 603923.0 |
| 715 | 452500 | 616913.4 |
| 716 | 452500 | 629903.8 |
| 717 | 452500 | 642894.2 |
| 718 | 452500 | 655884.6 |
| 719 | 452500 | 668875.0 |
| 720 | 452500 | 681865.3 |
| 721 | 452500 | 694855.7 |
| 722 | 452500 | 707846.1 |
| 723 | 452500 | 720836.5 |
| 724 | 452500 | 733826.9 |
| 725 | 452500 | 746817.2 |
| 726 | 452500 | 759807.6 |
| 727 | 452500 | 772798.0 |
| 728 | 452500 | 785788.4 |
| 729 | 452500 | 798778.8 |
| 730 | 452500 | 811769.1 |
| 731 | 452500 | 824759.5 |
| 732 | 452500 | 837749.9 |
| 733 | 452500 | 850740.3 |
| 734 | 452500 | 863730.7 |
| 735 | 452500 | 876721.1 |
| 736 | 452500 | 889711.4 |
| 737 | 452500 | 902701.8 |
| 738 | 452500 | 915692.2 |
| 739 | 452500 | 928682.6 |
| 740 | 452500 | 941673.0 |
| 741 | 452500 | 954663.3 |
| 742 | 452500 | 967653.7 |
| 743 | 452500 | 980644.1 |
| 744 | 452500 | 993634.5 |
| 745 | 452500 | 1006624.9 |
| 746 | 452500 | 1019615.2 |
| 747 | 452500 | 1032605.6 |
| 748 | 452500 | 1045596.0 |
| 749 | 452500 | 1058586.4 |
| 750 | 452500 | 1071576.8 |
| 751 | 452500 | 1084567.1 |
| 752 | 452500 | 1097557.5 |
| 753 | 456250 | 506495.2 |
| 754 | 456250 | 519485.6 |
| 755 | 456250 | 532476.0 |
| 756 | 456250 | 545466.3 |
| 757 | 456250 | 558456.7 |
| 758 | 456250 | 571447.1 |
| 759 | 456250 | 584437.5 |
| 760 | 456250 | 597427.9 |
| 761 | 456250 | 610418.2 |
| 762 | 456250 | 623408.6 |
| 763 | 456250 | 636399.0 |
| 764 | 456250 | 649389.4 |
| 765 | 456250 | 662379.8 |
| 766 | 456250 | 675370.1 |
| 767 | 456250 | 688360.5 |
| 768 | 456250 | 701350.9 |
| 769 | 456250 | 714341.3 |
| 770 | 456250 | 727331.7 |
| 771 | 456250 | 740322.0 |
| 772 | 456250 | 753312.4 |
| 773 | 456250 | 766302.8 |
| 774 | 456250 | 779293.2 |
| 775 | 456250 | 792283.6 |
| 776 | 456250 | 805274.0 |
| 777 | 456250 | 818264.3 |
| 778 | 456250 | 831254.7 |
| 779 | 456250 | 844245.1 |
| 780 | 456250 | 857235.5 |
| 781 | 456250 | 870225.9 |
| 782 | 456250 | 883216.2 |
| 783 | 456250 | 896206.6 |
| 784 | 456250 | 909197.0 |
| 785 | 456250 | 922187.4 |
| 786 | 456250 | 935177.8 |
| 787 | 456250 | 948168.1 |
| 788 | 456250 | 961158.5 |
| 789 | 456250 | 974148.9 |
| 790 | 456250 | 987139.3 |
| 791 | 456250 | 1000129.7 |
| 792 | 456250 | 1013120.1 |
| 793 | 456250 | 1026110.4 |
| 794 | 456250 | 1039100.8 |
| 795 | 456250 | 1052091.2 |
| 796 | 456250 | 1065081.6 |
| 797 | 456250 | 1078072.0 |
| 798 | 456250 | 1091062.3 |
| 799 | 456250 | 1104052.7 |
| 800 | 460000 | 500000.0 |
| 801 | 460000 | 512990.4 |
| 802 | 460000 | 525980.8 |
| 803 | 460000 | 538971.1 |
| 804 | 460000 | 551961.5 |
| 805 | 460000 | 564951.9 |
| 806 | 460000 | 577942.3 |
| 807 | 460000 | 590932.7 |
| 808 | 460000 | 603923.0 |
| 809 | 460000 | 616913.4 |
| 810 | 460000 | 629903.8 |
| 811 | 460000 | 642894.2 |
| 812 | 460000 | 655884.6 |
| 813 | 460000 | 668875.0 |
| 814 | 460000 | 681865.3 |
| 815 | 460000 | 694855.7 |
| 816 | 460000 | 707846.1 |
| 817 | 460000 | 720836.5 |
| 818 | 460000 | 733826.9 |
| 819 | 460000 | 746817.2 |
| 820 | 460000 | 759807.6 |
| 821 | 460000 | 772798.0 |
| 822 | 460000 | 785788.4 |
| 823 | 460000 | 798778.8 |
| 824 | 460000 | 811769.1 |
| 825 | 460000 | 824759.5 |
| 826 | 460000 | 837749.9 |
| 827 | 460000 | 850740.3 |
| 828 | 460000 | 863730.7 |
| 829 | 460000 | 876721.1 |
| 830 | 460000 | 889711.4 |
| 831 | 460000 | 902701.8 |
| 832 | 460000 | 915692.2 |
| 833 | 460000 | 928682.6 |
| 834 | 460000 | 941673.0 |
| 835 | 460000 | 954663.3 |
| 836 | 460000 | 967653.7 |
| 837 | 460000 | 980644.1 |
| 838 | 460000 | 993634.5 |
| 839 | 460000 | 1006624.9 |
| 840 | 460000 | 1019615.2 |
| 841 | 460000 | 1032605.6 |
| 842 | 460000 | 1045596.0 |
| 843 | 460000 | 1058586.4 |
| 844 | 460000 | 1071576.8 |
| 845 | 460000 | 1084567.1 |
| 846 | 460000 | 1097557.5 |
| 847 | 463750 | 506495.2 |
| 848 | 463750 | 519485.6 |
| 849 | 463750 | 532476.0 |
| 850 | 463750 | 545466.3 |
| 851 | 463750 | 558456.7 |
| 852 | 463750 | 571447.1 |
| 853 | 463750 | 584437.5 |
| 854 | 463750 | 597427.9 |
| 855 | 463750 | 610418.2 |
| 856 | 463750 | 623408.6 |
| 857 | 463750 | 636399.0 |
| 858 | 463750 | 649389.4 |
| 859 | 463750 | 662379.8 |
| 860 | 463750 | 675370.1 |
| 861 | 463750 | 688360.5 |
| 862 | 463750 | 701350.9 |
| 863 | 463750 | 714341.3 |
| 864 | 463750 | 727331.7 |
| 865 | 463750 | 740322.0 |
| 866 | 463750 | 753312.4 |
| 867 | 463750 | 766302.8 |
| 868 | 463750 | 779293.2 |
| 869 | 463750 | 792283.6 |
| 870 | 463750 | 805274.0 |
| 871 | 463750 | 818264.3 |
| 872 | 463750 | 831254.7 |
| 873 | 463750 | 844245.1 |
| 874 | 463750 | 857235.5 |
| 875 | 463750 | 870225.9 |
| 876 | 463750 | 883216.2 |
| 877 | 463750 | 896206.6 |
| 878 | 463750 | 909197.0 |
| 879 | 463750 | 922187.4 |
| 880 | 463750 | 935177.8 |
| 881 | 463750 | 948168.1 |
| 882 | 463750 | 961158.5 |
| 883 | 463750 | 974148.9 |
| 884 | 463750 | 987139.3 |
| 885 | 463750 | 1000129.7 |
| 886 | 463750 | 1013120.1 |
| 887 | 463750 | 1026110.4 |
| 888 | 463750 | 1039100.8 |
| 889 | 463750 | 1052091.2 |
| 890 | 463750 | 1065081.6 |
| 891 | 463750 | 1078072.0 |
| 892 | 463750 | 1091062.3 |
| 893 | 463750 | 1104052.7 |
| 894 | 467500 | 500000.0 |
| 895 | 467500 | 512990.4 |
| 896 | 467500 | 525980.8 |
| 897 | 467500 | 538971.1 |
| 898 | 467500 | 551961.5 |
| 899 | 467500 | 564951.9 |
| 900 | 467500 | 577942.3 |
| 901 | 467500 | 590932.7 |
| 902 | 467500 | 603923.0 |
| 903 | 467500 | 616913.4 |
| 904 | 467500 | 629903.8 |
| 905 | 467500 | 642894.2 |
| 906 | 467500 | 655884.6 |
| 907 | 467500 | 668875.0 |
| 908 | 467500 | 681865.3 |
| 909 | 467500 | 694855.7 |
| 910 | 467500 | 707846.1 |
| 911 | 467500 | 720836.5 |
| 912 | 467500 | 733826.9 |
| 913 | 467500 | 746817.2 |
| 914 | 467500 | 759807.6 |
| 915 | 467500 | 772798.0 |
| 916 | 467500 | 785788.4 |
| 917 | 467500 | 798778.8 |
| 918 | 467500 | 811769.1 |
| 919 | 467500 | 824759.5 |
| 920 | 467500 | 837749.9 |
| 921 | 467500 | 850740.3 |
| 922 | 467500 | 863730.7 |
| 923 | 467500 | 876721.1 |
| 924 | 467500 | 889711.4 |
| 925 | 467500 | 902701.8 |
| 926 | 467500 | 915692.2 |
| 927 | 467500 | 928682.6 |
| 928 | 467500 | 941673.0 |
| 929 | 467500 | 954663.3 |
| 930 | 467500 | 967653.7 |
| 931 | 467500 | 980644.1 |
| 932 | 467500 | 993634.5 |
| 933 | 467500 | 1006624.9 |
| 934 | 467500 | 1019615.2 |
| 935 | 467500 | 1032605.6 |
| 936 | 467500 | 1045596.0 |
| 937 | 467500 | 1058586.4 |
| 938 | 467500 | 1071576.8 |
| 939 | 467500 | 1084567.1 |
| 940 | 467500 | 1097557.5 |
| 941 | 471250 | 506495.2 |
| 942 | 471250 | 519485.6 |
| 943 | 471250 | 532476.0 |
| 944 | 471250 | 545466.3 |
| 945 | 471250 | 558456.7 |
| 946 | 471250 | 571447.1 |
| 947 | 471250 | 584437.5 |
| 948 | 471250 | 597427.9 |
| 949 | 471250 | 610418.2 |
| 950 | 471250 | 623408.6 |
| 951 | 471250 | 636399.0 |
| 952 | 471250 | 649389.4 |
| 953 | 471250 | 662379.8 |
| 954 | 471250 | 675370.1 |
| 955 | 471250 | 688360.5 |
| 956 | 471250 | 701350.9 |
| 957 | 471250 | 714341.3 |
| 958 | 471250 | 727331.7 |
| 959 | 471250 | 740322.0 |
| 960 | 471250 | 753312.4 |
| 961 | 471250 | 766302.8 |
| 962 | 471250 | 779293.2 |
| 963 | 471250 | 792283.6 |
| 964 | 471250 | 805274.0 |
| 965 | 471250 | 818264.3 |
| 966 | 471250 | 831254.7 |
| 967 | 471250 | 844245.1 |
| 968 | 471250 | 857235.5 |
| 969 | 471250 | 870225.9 |
| 970 | 471250 | 883216.2 |
| 971 | 471250 | 896206.6 |
| 972 | 471250 | 909197.0 |
| 973 | 471250 | 922187.4 |
| 974 | 471250 | 935177.8 |
| 975 | 471250 | 948168.1 |
| 976 | 471250 | 961158.5 |
| 977 | 471250 | 974148.9 |
| 978 | 471250 | 987139.3 |
| 979 | 471250 | 1000129.7 |
| 980 | 471250 | 1013120.1 |
| 981 | 471250 | 1026110.4 |
| 982 | 471250 | 1039100.8 |
| 983 | 471250 | 1052091.2 |
| 984 | 471250 | 1065081.6 |
| 985 | 471250 | 1078072.0 |
| 986 | 471250 | 1091062.3 |
| 987 | 471250 | 1104052.7 |
| 988 | 475000 | 500000.0 |
| 989 | 475000 | 512990.4 |
| 990 | 475000 | 525980.8 |
| 991 | 475000 | 538971.1 |
| 992 | 475000 | 551961.5 |
| 993 | 475000 | 564951.9 |
| 994 | 475000 | 577942.3 |
| 995 | 475000 | 590932.7 |
| 996 | 475000 | 603923.0 |
| 997 | 475000 | 616913.4 |
| 998 | 475000 | 629903.8 |
| 999 | 475000 | 642894.2 |
| 1000 | 475000 | 655884.6 |
| 1001 | 475000 | 668875.0 |
| 1002 | 475000 | 681865.3 |
| 1003 | 475000 | 694855.7 |
| 1004 | 475000 | 707846.1 |
| 1005 | 475000 | 720836.5 |
| 1006 | 475000 | 733826.9 |
| 1007 | 475000 | 746817.2 |
| 1008 | 475000 | 759807.6 |
| 1009 | 475000 | 772798.0 |
| 1010 | 475000 | 785788.4 |
| 1011 | 475000 | 798778.8 |
| 1012 | 475000 | 811769.1 |
| 1013 | 475000 | 824759.5 |
| 1014 | 475000 | 837749.9 |
| 1015 | 475000 | 850740.3 |
| 1016 | 475000 | 863730.7 |
| 1017 | 475000 | 876721.1 |
| 1018 | 475000 | 889711.4 |
| 1019 | 475000 | 902701.8 |
| 1020 | 475000 | 915692.2 |
| 1021 | 475000 | 928682.6 |
| 1022 | 475000 | 941673.0 |
| 1023 | 475000 | 954663.3 |
| 1024 | 475000 | 967653.7 |
| 1025 | 475000 | 980644.1 |
| 1026 | 475000 | 993634.5 |
| 1027 | 475000 | 1006624.9 |
| 1028 | 475000 | 1019615.2 |
| 1029 | 475000 | 1032605.6 |
| 1030 | 475000 | 1045596.0 |
| 1031 | 475000 | 1058586.4 |
| 1032 | 475000 | 1071576.8 |
| 1033 | 475000 | 1084567.1 |
| 1034 | 475000 | 1097557.5 |
| 1035 | 478750 | 506495.2 |
| 1036 | 478750 | 519485.6 |
| 1037 | 478750 | 532476.0 |
| 1038 | 478750 | 545466.3 |
| 1039 | 478750 | 558456.7 |
| 1040 | 478750 | 571447.1 |
| 1041 | 478750 | 584437.5 |
| 1042 | 478750 | 597427.9 |
| 1043 | 478750 | 610418.2 |
| 1044 | 478750 | 623408.6 |
| 1045 | 478750 | 636399.0 |
| 1046 | 478750 | 649389.4 |
| 1047 | 478750 | 662379.8 |
| 1048 | 478750 | 675370.1 |
| 1049 | 478750 | 688360.5 |
| 1050 | 478750 | 701350.9 |
| 1051 | 478750 | 714341.3 |
| 1052 | 478750 | 727331.7 |
| 1053 | 478750 | 740322.0 |
| 1054 | 478750 | 753312.4 |
| 1055 | 478750 | 766302.8 |
| 1056 | 478750 | 779293.2 |
| 1057 | 478750 | 792283.6 |
| 1058 | 478750 | 805274.0 |
| 1059 | 478750 | 818264.3 |
| 1060 | 478750 | 831254.7 |
| 1061 | 478750 | 844245.1 |
| 1062 | 478750 | 857235.5 |
| 1063 | 478750 | 870225.9 |
| 1064 | 478750 | 883216.2 |
| 1065 | 478750 | 896206.6 |
| 1066 | 478750 | 909197.0 |
| 1067 | 478750 | 922187.4 |
| 1068 | 478750 | 935177.8 |
| 1069 | 478750 | 948168.1 |
| 1070 | 478750 | 961158.5 |
| 1071 | 478750 | 974148.9 |
| 1072 | 478750 | 987139.3 |
| 1073 | 478750 | 1000129.7 |
| 1074 | 478750 | 1013120.1 |
| 1075 | 478750 | 1026110.4 |
| 1076 | 478750 | 1039100.8 |
| 1077 | 478750 | 1052091.2 |
| 1078 | 478750 | 1065081.6 |
| 1079 | 478750 | 1078072.0 |
| 1080 | 478750 | 1091062.3 |
| 1081 | 478750 | 1104052.7 |
| 1082 | 482500 | 500000.0 |
| 1083 | 482500 | 512990.4 |
| 1084 | 482500 | 525980.8 |
| 1085 | 482500 | 538971.1 |
| 1086 | 482500 | 551961.5 |
| 1087 | 482500 | 564951.9 |
| 1088 | 482500 | 577942.3 |
| 1089 | 482500 | 590932.7 |
| 1090 | 482500 | 603923.0 |
| 1091 | 482500 | 616913.4 |
| 1092 | 482500 | 629903.8 |
| 1093 | 482500 | 642894.2 |
| 1094 | 482500 | 655884.6 |
| 1095 | 482500 | 668875.0 |
| 1096 | 482500 | 681865.3 |
| 1097 | 482500 | 694855.7 |
| 1098 | 482500 | 707846.1 |
| 1099 | 482500 | 720836.5 |
| 1100 | 482500 | 733826.9 |
| 1101 | 482500 | 746817.2 |
| 1102 | 482500 | 759807.6 |
| 1103 | 482500 | 772798.0 |
| 1104 | 482500 | 785788.4 |
| 1105 | 482500 | 798778.8 |
| 1106 | 482500 | 811769.1 |
| 1107 | 482500 | 824759.5 |
| 1108 | 482500 | 837749.9 |
| 1109 | 482500 | 850740.3 |
| 1110 | 482500 | 863730.7 |
| 1111 | 482500 | 876721.1 |
| 1112 | 482500 | 889711.4 |
| 1113 | 482500 | 902701.8 |
| 1114 | 482500 | 915692.2 |
| 1115 | 482500 | 928682.6 |
| 1116 | 482500 | 941673.0 |
| 1117 | 482500 | 954663.3 |
| 1118 | 482500 | 967653.7 |
| 1119 | 482500 | 980644.1 |
| 1120 | 482500 | 993634.5 |
| 1121 | 482500 | 1006624.9 |
| 1122 | 482500 | 1019615.2 |
| 1123 | 482500 | 1032605.6 |
| 1124 | 482500 | 1045596.0 |
| 1125 | 482500 | 1058586.4 |
| 1126 | 482500 | 1071576.8 |
| 1127 | 482500 | 1084567.1 |
| 1128 | 482500 | 1097557.5 |
| 1129 | 486250 | 506495.2 |
| 1130 | 486250 | 519485.6 |
| 1131 | 486250 | 532476.0 |
| 1132 | 486250 | 545466.3 |
| 1133 | 486250 | 558456.7 |
| 1134 | 486250 | 571447.1 |
| 1135 | 486250 | 584437.5 |
| 1136 | 486250 | 597427.9 |
| 1137 | 486250 | 610418.2 |
| 1138 | 486250 | 623408.6 |
| 1139 | 486250 | 636399.0 |
| 1140 | 486250 | 649389.4 |
| 1141 | 486250 | 662379.8 |
| 1142 | 486250 | 675370.1 |
| 1143 | 486250 | 688360.5 |
| 1144 | 486250 | 701350.9 |
| 1145 | 486250 | 714341.3 |
| 1146 | 486250 | 727331.7 |
| 1147 | 486250 | 740322.0 |
| 1148 | 486250 | 753312.4 |
| 1149 | 486250 | 766302.8 |
| 1150 | 486250 | 779293.2 |
| 1151 | 486250 | 792283.6 |
| 1152 | 486250 | 805274.0 |
| 1153 | 486250 | 818264.3 |
| 1154 | 486250 | 831254.7 |
| 1155 | 486250 | 844245.1 |
| 1156 | 486250 | 857235.5 |
| 1157 | 486250 | 870225.9 |
| 1158 | 486250 | 883216.2 |
| 1159 | 486250 | 896206.6 |
| 1160 | 486250 | 909197.0 |
| 1161 | 486250 | 922187.4 |
| 1162 | 486250 | 935177.8 |
| 1163 | 486250 | 948168.1 |
| 1164 | 486250 | 961158.5 |
| 1165 | 486250 | 974148.9 |
| 1166 | 486250 | 987139.3 |
| 1167 | 486250 | 1000129.7 |
| 1168 | 486250 | 1013120.1 |
| 1169 | 486250 | 1026110.4 |
| 1170 | 486250 | 1039100.8 |
| 1171 | 486250 | 1052091.2 |
| 1172 | 486250 | 1065081.6 |
| 1173 | 486250 | 1078072.0 |
| 1174 | 486250 | 1091062.3 |
| 1175 | 486250 | 1104052.7 |
| 1176 | 490000 | 500000.0 |
| 1177 | 490000 | 512990.4 |
| 1178 | 490000 | 525980.8 |
| 1179 | 490000 | 538971.1 |
| 1180 | 490000 | 551961.5 |
| 1181 | 490000 | 564951.9 |
| 1182 | 490000 | 577942.3 |
| 1183 | 490000 | 590932.7 |
| 1184 | 490000 | 603923.0 |
| 1185 | 490000 | 616913.4 |
| 1186 | 490000 | 629903.8 |
| 1187 | 490000 | 642894.2 |
| 1188 | 490000 | 655884.6 |
| 1189 | 490000 | 668875.0 |
| 1190 | 490000 | 681865.3 |
| 1191 | 490000 | 694855.7 |
| 1192 | 490000 | 707846.1 |
| 1193 | 490000 | 720836.5 |
| 1194 | 490000 | 733826.9 |
| 1195 | 490000 | 746817.2 |
| 1196 | 490000 | 759807.6 |
| 1197 | 490000 | 772798.0 |
| 1198 | 490000 | 785788.4 |
| 1199 | 490000 | 798778.8 |
| 1200 | 490000 | 811769.1 |
| 1201 | 490000 | 824759.5 |
| 1202 | 490000 | 837749.9 |
| 1203 | 490000 | 850740.3 |
| 1204 | 490000 | 863730.7 |
| 1205 | 490000 | 876721.1 |
| 1206 | 490000 | 889711.4 |
| 1207 | 490000 | 902701.8 |
| 1208 | 490000 | 915692.2 |
| 1209 | 490000 | 928682.6 |
| 1210 | 490000 | 941673.0 |
| 1211 | 490000 | 954663.3 |
| 1212 | 490000 | 967653.7 |
| 1213 | 490000 | 980644.1 |
| 1214 | 490000 | 993634.5 |
| 1215 | 490000 | 1006624.9 |
| 1216 | 490000 | 1019615.2 |
| 1217 | 490000 | 1032605.6 |
| 1218 | 490000 | 1045596.0 |
| 1219 | 490000 | 1058586.4 |
| 1220 | 490000 | 1071576.8 |
| 1221 | 490000 | 1084567.1 |
| 1222 | 490000 | 1097557.5 |
| 1223 | 493750 | 506495.2 |
| 1224 | 493750 | 519485.6 |
| 1225 | 493750 | 532476.0 |
| 1226 | 493750 | 545466.3 |
| 1227 | 493750 | 558456.7 |
| 1228 | 493750 | 571447.1 |
| 1229 | 493750 | 584437.5 |
| 1230 | 493750 | 597427.9 |
| 1231 | 493750 | 610418.2 |
| 1232 | 493750 | 623408.6 |
| 1233 | 493750 | 636399.0 |
| 1234 | 493750 | 649389.4 |
| 1235 | 493750 | 662379.8 |
| 1236 | 493750 | 675370.1 |
| 1237 | 493750 | 688360.5 |
| 1238 | 493750 | 701350.9 |
| 1239 | 493750 | 714341.3 |
| 1240 | 493750 | 727331.7 |
| 1241 | 493750 | 740322.0 |
| 1242 | 493750 | 753312.4 |
| 1243 | 493750 | 766302.8 |
| 1244 | 493750 | 779293.2 |
| 1245 | 493750 | 792283.6 |
| 1246 | 493750 | 805274.0 |
| 1247 | 493750 | 818264.3 |
| 1248 | 493750 | 831254.7 |
| 1249 | 493750 | 844245.1 |
| 1250 | 493750 | 857235.5 |
| 1251 | 493750 | 870225.9 |
| 1252 | 493750 | 883216.2 |
| 1253 | 493750 | 896206.6 |
| 1254 | 493750 | 909197.0 |
| 1255 | 493750 | 922187.4 |
| 1256 | 493750 | 935177.8 |
| 1257 | 493750 | 948168.1 |
| 1258 | 493750 | 961158.5 |
| 1259 | 493750 | 974148.9 |
| 1260 | 493750 | 987139.3 |
| 1261 | 493750 | 1000129.7 |
| 1262 | 493750 | 1013120.1 |
| 1263 | 493750 | 1026110.4 |
| 1264 | 493750 | 1039100.8 |
| 1265 | 493750 | 1052091.2 |
| 1266 | 493750 | 1065081.6 |
| 1267 | 493750 | 1078072.0 |
| 1268 | 493750 | 1091062.3 |
| 1269 | 493750 | 1104052.7 |
| 1270 | 497500 | 500000.0 |
| 1271 | 497500 | 512990.4 |
| 1272 | 497500 | 525980.8 |
| 1273 | 497500 | 538971.1 |
| 1274 | 497500 | 551961.5 |
| 1275 | 497500 | 564951.9 |
| 1276 | 497500 | 577942.3 |
| 1277 | 497500 | 590932.7 |
| 1278 | 497500 | 603923.0 |
| 1279 | 497500 | 616913.4 |
| 1280 | 497500 | 629903.8 |
| 1281 | 497500 | 642894.2 |
| 1282 | 497500 | 655884.6 |
| 1283 | 497500 | 668875.0 |
| 1284 | 497500 | 681865.3 |
| 1285 | 497500 | 694855.7 |
| 1286 | 497500 | 707846.1 |
| 1287 | 497500 | 720836.5 |
| 1288 | 497500 | 733826.9 |
| 1289 | 497500 | 746817.2 |
| 1290 | 497500 | 759807.6 |
| 1291 | 497500 | 772798.0 |
| 1292 | 497500 | 785788.4 |
| 1293 | 497500 | 798778.8 |
| 1294 | 497500 | 811769.1 |
| 1295 | 497500 | 824759.5 |
| 1296 | 497500 | 837749.9 |
| 1297 | 497500 | 850740.3 |
| 1298 | 497500 | 863730.7 |
| 1299 | 497500 | 876721.1 |
| 1300 | 497500 | 889711.4 |
| 1301 | 497500 | 902701.8 |
| 1302 | 497500 | 915692.2 |
| 1303 | 497500 | 928682.6 |
| 1304 | 497500 | 941673.0 |
| 1305 | 497500 | 954663.3 |
| 1306 | 497500 | 967653.7 |
| 1307 | 497500 | 980644.1 |
| 1308 | 497500 | 993634.5 |
| 1309 | 497500 | 1006624.9 |
| 1310 | 497500 | 1019615.2 |
| 1311 | 497500 | 1032605.6 |
| 1312 | 497500 | 1045596.0 |
| 1313 | 497500 | 1058586.4 |
| 1314 | 497500 | 1071576.8 |
| 1315 | 497500 | 1084567.1 |
| 1316 | 497500 | 1097557.5 |
| 1317 | 501250 | 506495.2 |
| 1318 | 501250 | 519485.6 |
| 1319 | 501250 | 532476.0 |
| 1320 | 501250 | 545466.3 |
| 1321 | 501250 | 558456.7 |
| 1322 | 501250 | 571447.1 |
| 1323 | 501250 | 584437.5 |
| 1324 | 501250 | 597427.9 |
| 1325 | 501250 | 610418.2 |
| 1326 | 501250 | 623408.6 |
| 1327 | 501250 | 636399.0 |
| 1328 | 501250 | 649389.4 |
| 1329 | 501250 | 662379.8 |
| 1330 | 501250 | 675370.1 |
| 1331 | 501250 | 688360.5 |
| 1332 | 501250 | 701350.9 |
| 1333 | 501250 | 714341.3 |
| 1334 | 501250 | 727331.7 |
| 1335 | 501250 | 740322.0 |
| 1336 | 501250 | 753312.4 |
| 1337 | 501250 | 766302.8 |
| 1338 | 501250 | 779293.2 |
| 1339 | 501250 | 792283.6 |
| 1340 | 501250 | 805274.0 |
| 1341 | 501250 | 818264.3 |
| 1342 | 501250 | 831254.7 |
| 1343 | 501250 | 844245.1 |
| 1344 | 501250 | 857235.5 |
| 1345 | 501250 | 870225.9 |
| 1346 | 501250 | 883216.2 |
| 1347 | 501250 | 896206.6 |
| 1348 | 501250 | 909197.0 |
| 1349 | 501250 | 922187.4 |
| 1350 | 501250 | 935177.8 |
| 1351 | 501250 | 948168.1 |
| 1352 | 501250 | 961158.5 |
| 1353 | 501250 | 974148.9 |
| 1354 | 501250 | 987139.3 |
| 1355 | 501250 | 1000129.7 |
| 1356 | 501250 | 1013120.1 |
| 1357 | 501250 | 1026110.4 |
| 1358 | 501250 | 1039100.8 |
| 1359 | 501250 | 1052091.2 |
| 1360 | 501250 | 1065081.6 |
| 1361 | 501250 | 1078072.0 |
| 1362 | 501250 | 1091062.3 |
| 1363 | 501250 | 1104052.7 |
| 1364 | 505000 | 500000.0 |
| 1365 | 505000 | 512990.4 |
| 1366 | 505000 | 525980.8 |
| 1367 | 505000 | 538971.1 |
| 1368 | 505000 | 551961.5 |
| 1369 | 505000 | 564951.9 |
| 1370 | 505000 | 577942.3 |
| 1371 | 505000 | 590932.7 |
| 1372 | 505000 | 603923.0 |
| 1373 | 505000 | 616913.4 |
| 1374 | 505000 | 629903.8 |
| 1375 | 505000 | 642894.2 |
| 1376 | 505000 | 655884.6 |
| 1377 | 505000 | 668875.0 |
| 1378 | 505000 | 681865.3 |
| 1379 | 505000 | 694855.7 |
| 1380 | 505000 | 707846.1 |
| 1381 | 505000 | 720836.5 |
| 1382 | 505000 | 733826.9 |
| 1383 | 505000 | 746817.2 |
| 1384 | 505000 | 759807.6 |
| 1385 | 505000 | 772798.0 |
| 1386 | 505000 | 785788.4 |
| 1387 | 505000 | 798778.8 |
| 1388 | 505000 | 811769.1 |
| 1389 | 505000 | 824759.5 |
| 1390 | 505000 | 837749.9 |
| 1391 | 505000 | 850740.3 |
| 1392 | 505000 | 863730.7 |
| 1393 | 505000 | 876721.1 |
| 1394 | 505000 | 889711.4 |
| 1395 | 505000 | 902701.8 |
| 1396 | 505000 | 915692.2 |
| 1397 | 505000 | 928682.6 |
| 1398 | 505000 | 941673.0 |
| 1399 | 505000 | 954663.3 |
| 1400 | 505000 | 967653.7 |
| 1401 | 505000 | 980644.1 |
| 1402 | 505000 | 993634.5 |
| 1403 | 505000 | 1006624.9 |
| 1404 | 505000 | 1019615.2 |
| 1405 | 505000 | 1032605.6 |
| 1406 | 505000 | 1045596.0 |
| 1407 | 505000 | 1058586.4 |
| 1408 | 505000 | 1071576.8 |
| 1409 | 505000 | 1084567.1 |
| 1410 | 505000 | 1097557.5 |
| 1411 | 508750 | 506495.2 |
| 1412 | 508750 | 519485.6 |
| 1413 | 508750 | 532476.0 |
| 1414 | 508750 | 545466.3 |
| 1415 | 508750 | 558456.7 |
| 1416 | 508750 | 571447.1 |
| 1417 | 508750 | 584437.5 |
| 1418 | 508750 | 597427.9 |
| 1419 | 508750 | 610418.2 |
| 1420 | 508750 | 623408.6 |
| 1421 | 508750 | 636399.0 |
| 1422 | 508750 | 649389.4 |
| 1423 | 508750 | 662379.8 |
| 1424 | 508750 | 675370.1 |
| 1425 | 508750 | 688360.5 |
| 1426 | 508750 | 701350.9 |
| 1427 | 508750 | 714341.3 |
| 1428 | 508750 | 727331.7 |
| 1429 | 508750 | 740322.0 |
| 1430 | 508750 | 753312.4 |
| 1431 | 508750 | 766302.8 |
| 1432 | 508750 | 779293.2 |
| 1433 | 508750 | 792283.6 |
| 1434 | 508750 | 805274.0 |
| 1435 | 508750 | 818264.3 |
| 1436 | 508750 | 831254.7 |
| 1437 | 508750 | 844245.1 |
| 1438 | 508750 | 857235.5 |
| 1439 | 508750 | 870225.9 |
| 1440 | 508750 | 883216.2 |
| 1441 | 508750 | 896206.6 |
| 1442 | 508750 | 909197.0 |
| 1443 | 508750 | 922187.4 |
| 1444 | 508750 | 935177.8 |
| 1445 | 508750 | 948168.1 |
| 1446 | 508750 | 961158.5 |
| 1447 | 508750 | 974148.9 |
| 1448 | 508750 | 987139.3 |
| 1449 | 508750 | 1000129.7 |
| 1450 | 508750 | 1013120.1 |
| 1451 | 508750 | 1026110.4 |
| 1452 | 508750 | 1039100.8 |
| 1453 | 508750 | 1052091.2 |
| 1454 | 508750 | 1065081.6 |
| 1455 | 508750 | 1078072.0 |
| 1456 | 508750 | 1091062.3 |
| 1457 | 508750 | 1104052.7 |
| 1458 | 512500 | 500000.0 |
| 1459 | 512500 | 512990.4 |
| 1460 | 512500 | 525980.8 |
| 1461 | 512500 | 538971.1 |
| 1462 | 512500 | 551961.5 |
| 1463 | 512500 | 564951.9 |
| 1464 | 512500 | 577942.3 |
| 1465 | 512500 | 590932.7 |
| 1466 | 512500 | 603923.0 |
| 1467 | 512500 | 616913.4 |
| 1468 | 512500 | 629903.8 |
| 1469 | 512500 | 642894.2 |
| 1470 | 512500 | 655884.6 |
| 1471 | 512500 | 668875.0 |
| 1472 | 512500 | 681865.3 |
| 1473 | 512500 | 694855.7 |
| 1474 | 512500 | 707846.1 |
| 1475 | 512500 | 720836.5 |
| 1476 | 512500 | 733826.9 |
| 1477 | 512500 | 746817.2 |
| 1478 | 512500 | 759807.6 |
| 1479 | 512500 | 772798.0 |
| 1480 | 512500 | 785788.4 |
| 1481 | 512500 | 798778.8 |
| 1482 | 512500 | 811769.1 |
| 1483 | 512500 | 824759.5 |
| 1484 | 512500 | 837749.9 |
| 1485 | 512500 | 850740.3 |
| 1486 | 512500 | 863730.7 |
| 1487 | 512500 | 876721.1 |
| 1488 | 512500 | 889711.4 |
| 1489 | 512500 | 902701.8 |
| 1490 | 512500 | 915692.2 |
| 1491 | 512500 | 928682.6 |
| 1492 | 512500 | 941673.0 |
| 1493 | 512500 | 954663.3 |
| 1494 | 512500 | 967653.7 |
| 1495 | 512500 | 980644.1 |
| 1496 | 512500 | 993634.5 |
| 1497 | 512500 | 1006624.9 |
| 1498 | 512500 | 1019615.2 |
| 1499 | 512500 | 1032605.6 |
| 1500 | 512500 | 1045596.0 |
| 1501 | 512500 | 1058586.4 |
| 1502 | 512500 | 1071576.8 |
| 1503 | 512500 | 1084567.1 |
| 1504 | 512500 | 1097557.5 |
| 1505 | 516250 | 506495.2 |
| 1506 | 516250 | 519485.6 |
| 1507 | 516250 | 532476.0 |
| 1508 | 516250 | 545466.3 |
| 1509 | 516250 | 558456.7 |
| 1510 | 516250 | 571447.1 |
| 1511 | 516250 | 584437.5 |
| 1512 | 516250 | 597427.9 |
| 1513 | 516250 | 610418.2 |
| 1514 | 516250 | 623408.6 |
| 1515 | 516250 | 636399.0 |
| 1516 | 516250 | 649389.4 |
| 1517 | 516250 | 662379.8 |
| 1518 | 516250 | 675370.1 |
| 1519 | 516250 | 688360.5 |
| 1520 | 516250 | 701350.9 |
| 1521 | 516250 | 714341.3 |
| 1522 | 516250 | 727331.7 |
| 1523 | 516250 | 740322.0 |
| 1524 | 516250 | 753312.4 |
| 1525 | 516250 | 766302.8 |
| 1526 | 516250 | 779293.2 |
| 1527 | 516250 | 792283.6 |
| 1528 | 516250 | 805274.0 |
| 1529 | 516250 | 818264.3 |
| 1530 | 516250 | 831254.7 |
| 1531 | 516250 | 844245.1 |
| 1532 | 516250 | 857235.5 |
| 1533 | 516250 | 870225.9 |
| 1534 | 516250 | 883216.2 |
| 1535 | 516250 | 896206.6 |
| 1536 | 516250 | 909197.0 |
| 1537 | 516250 | 922187.4 |
| 1538 | 516250 | 935177.8 |
| 1539 | 516250 | 948168.1 |
| 1540 | 516250 | 961158.5 |
| 1541 | 516250 | 974148.9 |
| 1542 | 516250 | 987139.3 |
| 1543 | 516250 | 1000129.7 |
| 1544 | 516250 | 1013120.1 |
| 1545 | 516250 | 1026110.4 |
| 1546 | 516250 | 1039100.8 |
| 1547 | 516250 | 1052091.2 |
| 1548 | 516250 | 1065081.6 |
| 1549 | 516250 | 1078072.0 |
| 1550 | 516250 | 1091062.3 |
| 1551 | 516250 | 1104052.7 |
| 1552 | 520000 | 500000.0 |
| 1553 | 520000 | 512990.4 |
| 1554 | 520000 | 525980.8 |
| 1555 | 520000 | 538971.1 |
| 1556 | 520000 | 551961.5 |
| 1557 | 520000 | 564951.9 |
| 1558 | 520000 | 577942.3 |
| 1559 | 520000 | 590932.7 |
| 1560 | 520000 | 603923.0 |
| 1561 | 520000 | 616913.4 |
| 1562 | 520000 | 629903.8 |
| 1563 | 520000 | 642894.2 |
| 1564 | 520000 | 655884.6 |
| 1565 | 520000 | 668875.0 |
| 1566 | 520000 | 681865.3 |
| 1567 | 520000 | 694855.7 |
| 1568 | 520000 | 707846.1 |
| 1569 | 520000 | 720836.5 |
| 1570 | 520000 | 733826.9 |
| 1571 | 520000 | 746817.2 |
| 1572 | 520000 | 759807.6 |
| 1573 | 520000 | 772798.0 |
| 1574 | 520000 | 785788.4 |
| 1575 | 520000 | 798778.8 |
| 1576 | 520000 | 811769.1 |
| 1577 | 520000 | 824759.5 |
| 1578 | 520000 | 837749.9 |
| 1579 | 520000 | 850740.3 |
| 1580 | 520000 | 863730.7 |
| 1581 | 520000 | 876721.1 |
| 1582 | 520000 | 889711.4 |
| 1583 | 520000 | 902701.8 |
| 1584 | 520000 | 915692.2 |
| 1585 | 520000 | 928682.6 |
| 1586 | 520000 | 941673.0 |
| 1587 | 520000 | 954663.3 |
| 1588 | 520000 | 967653.7 |
| 1589 | 520000 | 980644.1 |
| 1590 | 520000 | 993634.5 |
| 1591 | 520000 | 1006624.9 |
| 1592 | 520000 | 1019615.2 |
| 1593 | 520000 | 1032605.6 |
| 1594 | 520000 | 1045596.0 |
| 1595 | 520000 | 1058586.4 |
| 1596 | 520000 | 1071576.8 |
| 1597 | 520000 | 1084567.1 |
| 1598 | 520000 | 1097557.5 |
| 1599 | 523750 | 506495.2 |
| 1600 | 523750 | 519485.6 |
| 1601 | 523750 | 532476.0 |
| 1602 | 523750 | 545466.3 |
| 1603 | 523750 | 558456.7 |
| 1604 | 523750 | 571447.1 |
| 1605 | 523750 | 584437.5 |
| 1606 | 523750 | 597427.9 |
| 1607 | 523750 | 610418.2 |
| 1608 | 523750 | 623408.6 |
| 1609 | 523750 | 636399.0 |
| 1610 | 523750 | 649389.4 |
| 1611 | 523750 | 662379.8 |
| 1612 | 523750 | 675370.1 |
| 1613 | 523750 | 688360.5 |
| 1614 | 523750 | 701350.9 |
| 1615 | 523750 | 714341.3 |
| 1616 | 523750 | 727331.7 |
| 1617 | 523750 | 740322.0 |
| 1618 | 523750 | 753312.4 |
| 1619 | 523750 | 766302.8 |
| 1620 | 523750 | 779293.2 |
| 1621 | 523750 | 792283.6 |
| 1622 | 523750 | 805274.0 |
| 1623 | 523750 | 818264.3 |
| 1624 | 523750 | 831254.7 |
| 1625 | 523750 | 844245.1 |
| 1626 | 523750 | 857235.5 |
| 1627 | 523750 | 870225.9 |
| 1628 | 523750 | 883216.2 |
| 1629 | 523750 | 896206.6 |
| 1630 | 523750 | 909197.0 |
| 1631 | 523750 | 922187.4 |
| 1632 | 523750 | 935177.8 |
| 1633 | 523750 | 948168.1 |
| 1634 | 523750 | 961158.5 |
| 1635 | 523750 | 974148.9 |
| 1636 | 523750 | 987139.3 |
| 1637 | 523750 | 1000129.7 |
| 1638 | 523750 | 1013120.1 |
| 1639 | 523750 | 1026110.4 |
| 1640 | 523750 | 1039100.8 |
| 1641 | 523750 | 1052091.2 |
| 1642 | 523750 | 1065081.6 |
| 1643 | 523750 | 1078072.0 |
| 1644 | 523750 | 1091062.3 |
| 1645 | 523750 | 1104052.7 |
| 1646 | 527500 | 500000.0 |
| 1647 | 527500 | 512990.4 |
| 1648 | 527500 | 525980.8 |
| 1649 | 527500 | 538971.1 |
| 1650 | 527500 | 551961.5 |
| 1651 | 527500 | 564951.9 |
| 1652 | 527500 | 577942.3 |
| 1653 | 527500 | 590932.7 |
| 1654 | 527500 | 603923.0 |
| 1655 | 527500 | 616913.4 |
| 1656 | 527500 | 629903.8 |
| 1657 | 527500 | 642894.2 |
| 1658 | 527500 | 655884.6 |
| 1659 | 527500 | 668875.0 |
| 1660 | 527500 | 681865.3 |
| 1661 | 527500 | 694855.7 |
| 1662 | 527500 | 707846.1 |
| 1663 | 527500 | 720836.5 |
| 1664 | 527500 | 733826.9 |
| 1665 | 527500 | 746817.2 |
| 1666 | 527500 | 759807.6 |
| 1667 | 527500 | 772798.0 |
| 1668 | 527500 | 785788.4 |
| 1669 | 527500 | 798778.8 |
| 1670 | 527500 | 811769.1 |
| 1671 | 527500 | 824759.5 |
| 1672 | 527500 | 837749.9 |
| 1673 | 527500 | 850740.3 |
| 1674 | 527500 | 863730.7 |
| 1675 | 527500 | 876721.1 |
| 1676 | 527500 | 889711.4 |
| 1677 | 527500 | 902701.8 |
| 1678 | 527500 | 915692.2 |
| 1679 | 527500 | 928682.6 |
| 1680 | 527500 | 941673.0 |
| 1681 | 527500 | 954663.3 |
| 1682 | 527500 | 967653.7 |
| 1683 | 527500 | 980644.1 |
| 1684 | 527500 | 993634.5 |
| 1685 | 527500 | 1006624.9 |
| 1686 | 527500 | 1019615.2 |
| 1687 | 527500 | 1032605.6 |
| 1688 | 527500 | 1045596.0 |
| 1689 | 527500 | 1058586.4 |
| 1690 | 527500 | 1071576.8 |
| 1691 | 527500 | 1084567.1 |
| 1692 | 527500 | 1097557.5 |
| 1693 | 531250 | 506495.2 |
| 1694 | 531250 | 519485.6 |
| 1695 | 531250 | 532476.0 |
| 1696 | 531250 | 545466.3 |
| 1697 | 531250 | 558456.7 |
| 1698 | 531250 | 571447.1 |
| 1699 | 531250 | 584437.5 |
| 1700 | 531250 | 597427.9 |
| 1701 | 531250 | 610418.2 |
| 1702 | 531250 | 623408.6 |
| 1703 | 531250 | 636399.0 |
| 1704 | 531250 | 649389.4 |
| 1705 | 531250 | 662379.8 |
| 1706 | 531250 | 675370.1 |
| 1707 | 531250 | 688360.5 |
| 1708 | 531250 | 701350.9 |
| 1709 | 531250 | 714341.3 |
| 1710 | 531250 | 727331.7 |
| 1711 | 531250 | 740322.0 |
| 1712 | 531250 | 753312.4 |
| 1713 | 531250 | 766302.8 |
| 1714 | 531250 | 779293.2 |
| 1715 | 531250 | 792283.6 |
| 1716 | 531250 | 805274.0 |
| 1717 | 531250 | 818264.3 |
| 1718 | 531250 | 831254.7 |
| 1719 | 531250 | 844245.1 |
| 1720 | 531250 | 857235.5 |
| 1721 | 531250 | 870225.9 |
| 1722 | 531250 | 883216.2 |
| 1723 | 531250 | 896206.6 |
| 1724 | 531250 | 909197.0 |
| 1725 | 531250 | 922187.4 |
| 1726 | 531250 | 935177.8 |
| 1727 | 531250 | 948168.1 |
| 1728 | 531250 | 961158.5 |
| 1729 | 531250 | 974148.9 |
| 1730 | 531250 | 987139.3 |
| 1731 | 531250 | 1000129.7 |
| 1732 | 531250 | 1013120.1 |
| 1733 | 531250 | 1026110.4 |
| 1734 | 531250 | 1039100.8 |
| 1735 | 531250 | 1052091.2 |
| 1736 | 531250 | 1065081.6 |
| 1737 | 531250 | 1078072.0 |
| 1738 | 531250 | 1091062.3 |
| 1739 | 531250 | 1104052.7 |
| 1740 | 535000 | 500000.0 |
| 1741 | 535000 | 512990.4 |
| 1742 | 535000 | 525980.8 |
| 1743 | 535000 | 538971.1 |
| 1744 | 535000 | 551961.5 |
| 1745 | 535000 | 564951.9 |
| 1746 | 535000 | 577942.3 |
| 1747 | 535000 | 590932.7 |
| 1748 | 535000 | 603923.0 |
| 1749 | 535000 | 616913.4 |
| 1750 | 535000 | 629903.8 |
| 1751 | 535000 | 642894.2 |
| 1752 | 535000 | 655884.6 |
| 1753 | 535000 | 668875.0 |
| 1754 | 535000 | 681865.3 |
| 1755 | 535000 | 694855.7 |
| 1756 | 535000 | 707846.1 |
| 1757 | 535000 | 720836.5 |
| 1758 | 535000 | 733826.9 |
| 1759 | 535000 | 746817.2 |
| 1760 | 535000 | 759807.6 |
| 1761 | 535000 | 772798.0 |
| 1762 | 535000 | 785788.4 |
| 1763 | 535000 | 798778.8 |
| 1764 | 535000 | 811769.1 |
| 1765 | 535000 | 824759.5 |
| 1766 | 535000 | 837749.9 |
| 1767 | 535000 | 850740.3 |
| 1768 | 535000 | 863730.7 |
| 1769 | 535000 | 876721.1 |
| 1770 | 535000 | 889711.4 |
| 1771 | 535000 | 902701.8 |
| 1772 | 535000 | 915692.2 |
| 1773 | 535000 | 928682.6 |
| 1774 | 535000 | 941673.0 |
| 1775 | 535000 | 954663.3 |
| 1776 | 535000 | 967653.7 |
| 1777 | 535000 | 980644.1 |
| 1778 | 535000 | 993634.5 |
| 1779 | 535000 | 1006624.9 |
| 1780 | 535000 | 1019615.2 |
| 1781 | 535000 | 1032605.6 |
| 1782 | 535000 | 1045596.0 |
| 1783 | 535000 | 1058586.4 |
| 1784 | 535000 | 1071576.8 |
| 1785 | 535000 | 1084567.1 |
| 1786 | 535000 | 1097557.5 |
| 1787 | 538750 | 506495.2 |
| 1788 | 538750 | 519485.6 |
| 1789 | 538750 | 532476.0 |
| 1790 | 538750 | 545466.3 |
| 1791 | 538750 | 558456.7 |
| 1792 | 538750 | 571447.1 |
| 1793 | 538750 | 584437.5 |
| 1794 | 538750 | 597427.9 |
| 1795 | 538750 | 610418.2 |
| 1796 | 538750 | 623408.6 |
| 1797 | 538750 | 636399.0 |
| 1798 | 538750 | 649389.4 |
| 1799 | 538750 | 662379.8 |
| 1800 | 538750 | 675370.1 |
| 1801 | 538750 | 688360.5 |
| 1802 | 538750 | 701350.9 |
| 1803 | 538750 | 714341.3 |
| 1804 | 538750 | 727331.7 |
| 1805 | 538750 | 740322.0 |
| 1806 | 538750 | 753312.4 |
| 1807 | 538750 | 766302.8 |
| 1808 | 538750 | 779293.2 |
| 1809 | 538750 | 792283.6 |
| 1810 | 538750 | 805274.0 |
| 1811 | 538750 | 818264.3 |
| 1812 | 538750 | 831254.7 |
| 1813 | 538750 | 844245.1 |
| 1814 | 538750 | 857235.5 |
| 1815 | 538750 | 870225.9 |
| 1816 | 538750 | 883216.2 |
| 1817 | 538750 | 896206.6 |
| 1818 | 538750 | 909197.0 |
| 1819 | 538750 | 922187.4 |
| 1820 | 538750 | 935177.8 |
| 1821 | 538750 | 948168.1 |
| 1822 | 538750 | 961158.5 |
| 1823 | 538750 | 974148.9 |
| 1824 | 538750 | 987139.3 |
| 1825 | 538750 | 1000129.7 |
| 1826 | 538750 | 1013120.1 |
| 1827 | 538750 | 1026110.4 |
| 1828 | 538750 | 1039100.8 |
| 1829 | 538750 | 1052091.2 |
| 1830 | 538750 | 1065081.6 |
| 1831 | 538750 | 1078072.0 |
| 1832 | 538750 | 1091062.3 |
| 1833 | 538750 | 1104052.7 |
| 1834 | 542500 | 500000.0 |
| 1835 | 542500 | 512990.4 |
| 1836 | 542500 | 525980.8 |
| 1837 | 542500 | 538971.1 |
| 1838 | 542500 | 551961.5 |
| 1839 | 542500 | 564951.9 |
| 1840 | 542500 | 577942.3 |
| 1841 | 542500 | 590932.7 |
| 1842 | 542500 | 603923.0 |
| 1843 | 542500 | 616913.4 |
| 1844 | 542500 | 629903.8 |
| 1845 | 542500 | 642894.2 |
| 1846 | 542500 | 655884.6 |
| 1847 | 542500 | 668875.0 |
| 1848 | 542500 | 681865.3 |
| 1849 | 542500 | 694855.7 |
| 1850 | 542500 | 707846.1 |
| 1851 | 542500 | 720836.5 |
| 1852 | 542500 | 733826.9 |
| 1853 | 542500 | 746817.2 |
| 1854 | 542500 | 759807.6 |
| 1855 | 542500 | 772798.0 |
| 1856 | 542500 | 785788.4 |
| 1857 | 542500 | 798778.8 |
| 1858 | 542500 | 811769.1 |
| 1859 | 542500 | 824759.5 |
| 1860 | 542500 | 837749.9 |
| 1861 | 542500 | 850740.3 |
| 1862 | 542500 | 863730.7 |
| 1863 | 542500 | 876721.1 |
| 1864 | 542500 | 889711.4 |
| 1865 | 542500 | 902701.8 |
| 1866 | 542500 | 915692.2 |
| 1867 | 542500 | 928682.6 |
| 1868 | 542500 | 941673.0 |
| 1869 | 542500 | 954663.3 |
| 1870 | 542500 | 967653.7 |
| 1871 | 542500 | 980644.1 |
| 1872 | 542500 | 993634.5 |
| 1873 | 542500 | 1006624.9 |
| 1874 | 542500 | 1019615.2 |
| 1875 | 542500 | 1032605.6 |
| 1876 | 542500 | 1045596.0 |
| 1877 | 542500 | 1058586.4 |
| 1878 | 542500 | 1071576.8 |
| 1879 | 542500 | 1084567.1 |
| 1880 | 542500 | 1097557.5 |
| 1881 | 546250 | 506495.2 |
| 1882 | 546250 | 519485.6 |
| 1883 | 546250 | 532476.0 |
| 1884 | 546250 | 545466.3 |
| 1885 | 546250 | 558456.7 |
| 1886 | 546250 | 571447.1 |
| 1887 | 546250 | 584437.5 |
| 1888 | 546250 | 597427.9 |
| 1889 | 546250 | 610418.2 |
| 1890 | 546250 | 623408.6 |
| 1891 | 546250 | 636399.0 |
| 1892 | 546250 | 649389.4 |
| 1893 | 546250 | 662379.8 |
| 1894 | 546250 | 675370.1 |
| 1895 | 546250 | 688360.5 |
| 1896 | 546250 | 701350.9 |
| 1897 | 546250 | 714341.3 |
| 1898 | 546250 | 727331.7 |
| 1899 | 546250 | 740322.0 |
| 1900 | 546250 | 753312.4 |
| 1901 | 546250 | 766302.8 |
| 1902 | 546250 | 779293.2 |
| 1903 | 546250 | 792283.6 |
| 1904 | 546250 | 805274.0 |
| 1905 | 546250 | 818264.3 |
| 1906 | 546250 | 831254.7 |
| 1907 | 546250 | 844245.1 |
| 1908 | 546250 | 857235.5 |
| 1909 | 546250 | 870225.9 |
| 1910 | 546250 | 883216.2 |
| 1911 | 546250 | 896206.6 |
| 1912 | 546250 | 909197.0 |
| 1913 | 546250 | 922187.4 |
| 1914 | 546250 | 935177.8 |
| 1915 | 546250 | 948168.1 |
| 1916 | 546250 | 961158.5 |
| 1917 | 546250 | 974148.9 |
| 1918 | 546250 | 987139.3 |
| 1919 | 546250 | 1000129.7 |
| 1920 | 546250 | 1013120.1 |
| 1921 | 546250 | 1026110.4 |
| 1922 | 546250 | 1039100.8 |
| 1923 | 546250 | 1052091.2 |
| 1924 | 546250 | 1065081.6 |
| 1925 | 546250 | 1078072.0 |
| 1926 | 546250 | 1091062.3 |
| 1927 | 546250 | 1104052.7 |
| 1928 | 550000 | 500000.0 |
| 1929 | 550000 | 512990.4 |
| 1930 | 550000 | 525980.8 |
| 1931 | 550000 | 538971.1 |
| 1932 | 550000 | 551961.5 |
| 1933 | 550000 | 564951.9 |
| 1934 | 550000 | 577942.3 |
| 1935 | 550000 | 590932.7 |
| 1936 | 550000 | 603923.0 |
| 1937 | 550000 | 616913.4 |
| 1938 | 550000 | 629903.8 |
| 1939 | 550000 | 642894.2 |
| 1940 | 550000 | 655884.6 |
| 1941 | 550000 | 668875.0 |
| 1942 | 550000 | 681865.3 |
| 1943 | 550000 | 694855.7 |
| 1944 | 550000 | 707846.1 |
| 1945 | 550000 | 720836.5 |
| 1946 | 550000 | 733826.9 |
| 1947 | 550000 | 746817.2 |
| 1948 | 550000 | 759807.6 |
| 1949 | 550000 | 772798.0 |
| 1950 | 550000 | 785788.4 |
| 1951 | 550000 | 798778.8 |
| 1952 | 550000 | 811769.1 |
| 1953 | 550000 | 824759.5 |
| 1954 | 550000 | 837749.9 |
| 1955 | 550000 | 850740.3 |
| 1956 | 550000 | 863730.7 |
| 1957 | 550000 | 876721.1 |
| 1958 | 550000 | 889711.4 |
| 1959 | 550000 | 902701.8 |
| 1960 | 550000 | 915692.2 |
| 1961 | 550000 | 928682.6 |
| 1962 | 550000 | 941673.0 |
| 1963 | 550000 | 954663.3 |
| 1964 | 550000 | 967653.7 |
| 1965 | 550000 | 980644.1 |
| 1966 | 550000 | 993634.5 |
| 1967 | 550000 | 1006624.9 |
| 1968 | 550000 | 1019615.2 |
| 1969 | 550000 | 1032605.6 |
| 1970 | 550000 | 1045596.0 |
| 1971 | 550000 | 1058586.4 |
| 1972 | 550000 | 1071576.8 |
| 1973 | 550000 | 1084567.1 |
| 1974 | 550000 | 1097557.5 |
| 1975 | 553750 | 506495.2 |
| 1976 | 553750 | 519485.6 |
| 1977 | 553750 | 532476.0 |
| 1978 | 553750 | 545466.3 |
| 1979 | 553750 | 558456.7 |
| 1980 | 553750 | 571447.1 |
| 1981 | 553750 | 584437.5 |
| 1982 | 553750 | 597427.9 |
| 1983 | 553750 | 610418.2 |
| 1984 | 553750 | 623408.6 |
| 1985 | 553750 | 636399.0 |
| 1986 | 553750 | 649389.4 |
| 1987 | 553750 | 662379.8 |
| 1988 | 553750 | 675370.1 |
| 1989 | 553750 | 688360.5 |
| 1990 | 553750 | 701350.9 |
| 1991 | 553750 | 714341.3 |
| 1992 | 553750 | 727331.7 |
| 1993 | 553750 | 740322.0 |
| 1994 | 553750 | 753312.4 |
| 1995 | 553750 | 766302.8 |
| 1996 | 553750 | 779293.2 |
| 1997 | 553750 | 792283.6 |
| 1998 | 553750 | 805274.0 |
| 1999 | 553750 | 818264.3 |
| 2000 | 553750 | 831254.7 |
| 2001 | 553750 | 844245.1 |
| 2002 | 553750 | 857235.5 |
| 2003 | 553750 | 870225.9 |
| 2004 | 553750 | 883216.2 |
| 2005 | 553750 | 896206.6 |
| 2006 | 553750 | 909197.0 |
| 2007 | 553750 | 922187.4 |
| 2008 | 553750 | 935177.8 |
| 2009 | 553750 | 948168.1 |
| 2010 | 553750 | 961158.5 |
| 2011 | 553750 | 974148.9 |
| 2012 | 553750 | 987139.3 |
| 2013 | 553750 | 1000129.7 |
| 2014 | 553750 | 1013120.1 |
| 2015 | 553750 | 1026110.4 |
| 2016 | 553750 | 1039100.8 |
| 2017 | 553750 | 1052091.2 |
| 2018 | 553750 | 1065081.6 |
| 2019 | 553750 | 1078072.0 |
| 2020 | 553750 | 1091062.3 |
| 2021 | 553750 | 1104052.7 |
| 2022 | 557500 | 500000.0 |
| 2023 | 557500 | 512990.4 |
| 2024 | 557500 | 525980.8 |
| 2025 | 557500 | 538971.1 |
| 2026 | 557500 | 551961.5 |
| 2027 | 557500 | 564951.9 |
| 2028 | 557500 | 577942.3 |
| 2029 | 557500 | 590932.7 |
| 2030 | 557500 | 603923.0 |
| 2031 | 557500 | 616913.4 |
| 2032 | 557500 | 629903.8 |
| 2033 | 557500 | 642894.2 |
| 2034 | 557500 | 655884.6 |
| 2035 | 557500 | 668875.0 |
| 2036 | 557500 | 681865.3 |
| 2037 | 557500 | 694855.7 |
| 2038 | 557500 | 707846.1 |
| 2039 | 557500 | 720836.5 |
| 2040 | 557500 | 733826.9 |
| 2041 | 557500 | 746817.2 |
| 2042 | 557500 | 759807.6 |
| 2043 | 557500 | 772798.0 |
| 2044 | 557500 | 785788.4 |
| 2045 | 557500 | 798778.8 |
| 2046 | 557500 | 811769.1 |
| 2047 | 557500 | 824759.5 |
| 2048 | 557500 | 837749.9 |
| 2049 | 557500 | 850740.3 |
| 2050 | 557500 | 863730.7 |
| 2051 | 557500 | 876721.1 |
| 2052 | 557500 | 889711.4 |
| 2053 | 557500 | 902701.8 |
| 2054 | 557500 | 915692.2 |
| 2055 | 557500 | 928682.6 |
| 2056 | 557500 | 941673.0 |
| 2057 | 557500 | 954663.3 |
| 2058 | 557500 | 967653.7 |
| 2059 | 557500 | 980644.1 |
| 2060 | 557500 | 993634.5 |
| 2061 | 557500 | 1006624.9 |
| 2062 | 557500 | 1019615.2 |
| 2063 | 557500 | 1032605.6 |
| 2064 | 557500 | 1045596.0 |
| 2065 | 557500 | 1058586.4 |
| 2066 | 557500 | 1071576.8 |
| 2067 | 557500 | 1084567.1 |
| 2068 | 557500 | 1097557.5 |
| 2069 | 561250 | 506495.2 |
| 2070 | 561250 | 519485.6 |
| 2071 | 561250 | 532476.0 |
| 2072 | 561250 | 545466.3 |
| 2073 | 561250 | 558456.7 |
| 2074 | 561250 | 571447.1 |
| 2075 | 561250 | 584437.5 |
| 2076 | 561250 | 597427.9 |
| 2077 | 561250 | 610418.2 |
| 2078 | 561250 | 623408.6 |
| 2079 | 561250 | 636399.0 |
| 2080 | 561250 | 649389.4 |
| 2081 | 561250 | 662379.8 |
| 2082 | 561250 | 675370.1 |
| 2083 | 561250 | 688360.5 |
| 2084 | 561250 | 701350.9 |
| 2085 | 561250 | 714341.3 |
| 2086 | 561250 | 727331.7 |
| 2087 | 561250 | 740322.0 |
| 2088 | 561250 | 753312.4 |
| 2089 | 561250 | 766302.8 |
| 2090 | 561250 | 779293.2 |
| 2091 | 561250 | 792283.6 |
| 2092 | 561250 | 805274.0 |
| 2093 | 561250 | 818264.3 |
| 2094 | 561250 | 831254.7 |
| 2095 | 561250 | 844245.1 |
| 2096 | 561250 | 857235.5 |
| 2097 | 561250 | 870225.9 |
| 2098 | 561250 | 883216.2 |
| 2099 | 561250 | 896206.6 |
| 2100 | 561250 | 909197.0 |
| 2101 | 561250 | 922187.4 |
| 2102 | 561250 | 935177.8 |
| 2103 | 561250 | 948168.1 |
| 2104 | 561250 | 961158.5 |
| 2105 | 561250 | 974148.9 |
| 2106 | 561250 | 987139.3 |
| 2107 | 561250 | 1000129.7 |
| 2108 | 561250 | 1013120.1 |
| 2109 | 561250 | 1026110.4 |
| 2110 | 561250 | 1039100.8 |
| 2111 | 561250 | 1052091.2 |
| 2112 | 561250 | 1065081.6 |
| 2113 | 561250 | 1078072.0 |
| 2114 | 561250 | 1091062.3 |
| 2115 | 561250 | 1104052.7 |
| 2116 | 565000 | 500000.0 |
| 2117 | 565000 | 512990.4 |
| 2118 | 565000 | 525980.8 |
| 2119 | 565000 | 538971.1 |
| 2120 | 565000 | 551961.5 |
| 2121 | 565000 | 564951.9 |
| 2122 | 565000 | 577942.3 |
| 2123 | 565000 | 590932.7 |
| 2124 | 565000 | 603923.0 |
| 2125 | 565000 | 616913.4 |
| 2126 | 565000 | 629903.8 |
| 2127 | 565000 | 642894.2 |
| 2128 | 565000 | 655884.6 |
| 2129 | 565000 | 668875.0 |
| 2130 | 565000 | 681865.3 |
| 2131 | 565000 | 694855.7 |
| 2132 | 565000 | 707846.1 |
| 2133 | 565000 | 720836.5 |
| 2134 | 565000 | 733826.9 |
| 2135 | 565000 | 746817.2 |
| 2136 | 565000 | 759807.6 |
| 2137 | 565000 | 772798.0 |
| 2138 | 565000 | 785788.4 |
| 2139 | 565000 | 798778.8 |
| 2140 | 565000 | 811769.1 |
| 2141 | 565000 | 824759.5 |
| 2142 | 565000 | 837749.9 |
| 2143 | 565000 | 850740.3 |
| 2144 | 565000 | 863730.7 |
| 2145 | 565000 | 876721.1 |
| 2146 | 565000 | 889711.4 |
| 2147 | 565000 | 902701.8 |
| 2148 | 565000 | 915692.2 |
| 2149 | 565000 | 928682.6 |
| 2150 | 565000 | 941673.0 |
| 2151 | 565000 | 954663.3 |
| 2152 | 565000 | 967653.7 |
| 2153 | 565000 | 980644.1 |
| 2154 | 565000 | 993634.5 |
| 2155 | 565000 | 1006624.9 |
| 2156 | 565000 | 1019615.2 |
| 2157 | 565000 | 1032605.6 |
| 2158 | 565000 | 1045596.0 |
| 2159 | 565000 | 1058586.4 |
| 2160 | 565000 | 1071576.8 |
| 2161 | 565000 | 1084567.1 |
| 2162 | 565000 | 1097557.5 |
| 2163 | 568750 | 506495.2 |
| 2164 | 568750 | 519485.6 |
| 2165 | 568750 | 532476.0 |
| 2166 | 568750 | 545466.3 |
| 2167 | 568750 | 558456.7 |
| 2168 | 568750 | 571447.1 |
| 2169 | 568750 | 584437.5 |
| 2170 | 568750 | 597427.9 |
| 2171 | 568750 | 610418.2 |
| 2172 | 568750 | 623408.6 |
| 2173 | 568750 | 636399.0 |
| 2174 | 568750 | 649389.4 |
| 2175 | 568750 | 662379.8 |
| 2176 | 568750 | 675370.1 |
| 2177 | 568750 | 688360.5 |
| 2178 | 568750 | 701350.9 |
| 2179 | 568750 | 714341.3 |
| 2180 | 568750 | 727331.7 |
| 2181 | 568750 | 740322.0 |
| 2182 | 568750 | 753312.4 |
| 2183 | 568750 | 766302.8 |
| 2184 | 568750 | 779293.2 |
| 2185 | 568750 | 792283.6 |
| 2186 | 568750 | 805274.0 |
| 2187 | 568750 | 818264.3 |
| 2188 | 568750 | 831254.7 |
| 2189 | 568750 | 844245.1 |
| 2190 | 568750 | 857235.5 |
| 2191 | 568750 | 870225.9 |
| 2192 | 568750 | 883216.2 |
| 2193 | 568750 | 896206.6 |
| 2194 | 568750 | 909197.0 |
| 2195 | 568750 | 922187.4 |
| 2196 | 568750 | 935177.8 |
| 2197 | 568750 | 948168.1 |
| 2198 | 568750 | 961158.5 |
| 2199 | 568750 | 974148.9 |
| 2200 | 568750 | 987139.3 |
| 2201 | 568750 | 1000129.7 |
| 2202 | 568750 | 1013120.1 |
| 2203 | 568750 | 1026110.4 |
| 2204 | 568750 | 1039100.8 |
| 2205 | 568750 | 1052091.2 |
| 2206 | 568750 | 1065081.6 |
| 2207 | 568750 | 1078072.0 |
| 2208 | 568750 | 1091062.3 |
| 2209 | 568750 | 1104052.7 |
| 2210 | 572500 | 500000.0 |
| 2211 | 572500 | 512990.4 |
| 2212 | 572500 | 525980.8 |
| 2213 | 572500 | 538971.1 |
| 2214 | 572500 | 551961.5 |
| 2215 | 572500 | 564951.9 |
| 2216 | 572500 | 577942.3 |
| 2217 | 572500 | 590932.7 |
| 2218 | 572500 | 603923.0 |
| 2219 | 572500 | 616913.4 |
| 2220 | 572500 | 629903.8 |
| 2221 | 572500 | 642894.2 |
| 2222 | 572500 | 655884.6 |
| 2223 | 572500 | 668875.0 |
| 2224 | 572500 | 681865.3 |
| 2225 | 572500 | 694855.7 |
| 2226 | 572500 | 707846.1 |
| 2227 | 572500 | 720836.5 |
| 2228 | 572500 | 733826.9 |
| 2229 | 572500 | 746817.2 |
| 2230 | 572500 | 759807.6 |
| 2231 | 572500 | 772798.0 |
| 2232 | 572500 | 785788.4 |
| 2233 | 572500 | 798778.8 |
| 2234 | 572500 | 811769.1 |
| 2235 | 572500 | 824759.5 |
| 2236 | 572500 | 837749.9 |
| 2237 | 572500 | 850740.3 |
| 2238 | 572500 | 863730.7 |
| 2239 | 572500 | 876721.1 |
| 2240 | 572500 | 889711.4 |
| 2241 | 572500 | 902701.8 |
| 2242 | 572500 | 915692.2 |
| 2243 | 572500 | 928682.6 |
| 2244 | 572500 | 941673.0 |
| 2245 | 572500 | 954663.3 |
| 2246 | 572500 | 967653.7 |
| 2247 | 572500 | 980644.1 |
| 2248 | 572500 | 993634.5 |
| 2249 | 572500 | 1006624.9 |
| 2250 | 572500 | 1019615.2 |
| 2251 | 572500 | 1032605.6 |
| 2252 | 572500 | 1045596.0 |
| 2253 | 572500 | 1058586.4 |
| 2254 | 572500 | 1071576.8 |
| 2255 | 572500 | 1084567.1 |
| 2256 | 572500 | 1097557.5 |
| 2257 | 576250 | 506495.2 |
| 2258 | 576250 | 519485.6 |
| 2259 | 576250 | 532476.0 |
| 2260 | 576250 | 545466.3 |
| 2261 | 576250 | 558456.7 |
| 2262 | 576250 | 571447.1 |
| 2263 | 576250 | 584437.5 |
| 2264 | 576250 | 597427.9 |
| 2265 | 576250 | 610418.2 |
| 2266 | 576250 | 623408.6 |
| 2267 | 576250 | 636399.0 |
| 2268 | 576250 | 649389.4 |
| 2269 | 576250 | 662379.8 |
| 2270 | 576250 | 675370.1 |
| 2271 | 576250 | 688360.5 |
| 2272 | 576250 | 701350.9 |
| 2273 | 576250 | 714341.3 |
| 2274 | 576250 | 727331.7 |
| 2275 | 576250 | 740322.0 |
| 2276 | 576250 | 753312.4 |
| 2277 | 576250 | 766302.8 |
| 2278 | 576250 | 779293.2 |
| 2279 | 576250 | 792283.6 |
| 2280 | 576250 | 805274.0 |
| 2281 | 576250 | 818264.3 |
| 2282 | 576250 | 831254.7 |
| 2283 | 576250 | 844245.1 |
| 2284 | 576250 | 857235.5 |
| 2285 | 576250 | 870225.9 |
| 2286 | 576250 | 883216.2 |
| 2287 | 576250 | 896206.6 |
| 2288 | 576250 | 909197.0 |
| 2289 | 576250 | 922187.4 |
| 2290 | 576250 | 935177.8 |
| 2291 | 576250 | 948168.1 |
| 2292 | 576250 | 961158.5 |
| 2293 | 576250 | 974148.9 |
| 2294 | 576250 | 987139.3 |
| 2295 | 576250 | 1000129.7 |
| 2296 | 576250 | 1013120.1 |
| 2297 | 576250 | 1026110.4 |
| 2298 | 576250 | 1039100.8 |
| 2299 | 576250 | 1052091.2 |
| 2300 | 576250 | 1065081.6 |
| 2301 | 576250 | 1078072.0 |
| 2302 | 576250 | 1091062.3 |
| 2303 | 576250 | 1104052.7 |
| 2304 | 580000 | 500000.0 |
| 2305 | 580000 | 512990.4 |
| 2306 | 580000 | 525980.8 |
| 2307 | 580000 | 538971.1 |
| 2308 | 580000 | 551961.5 |
| 2309 | 580000 | 564951.9 |
| 2310 | 580000 | 577942.3 |
| 2311 | 580000 | 590932.7 |
| 2312 | 580000 | 603923.0 |
| 2313 | 580000 | 616913.4 |
| 2314 | 580000 | 629903.8 |
| 2315 | 580000 | 642894.2 |
| 2316 | 580000 | 655884.6 |
| 2317 | 580000 | 668875.0 |
| 2318 | 580000 | 681865.3 |
| 2319 | 580000 | 694855.7 |
| 2320 | 580000 | 707846.1 |
| 2321 | 580000 | 720836.5 |
| 2322 | 580000 | 733826.9 |
| 2323 | 580000 | 746817.2 |
| 2324 | 580000 | 759807.6 |
| 2325 | 580000 | 772798.0 |
| 2326 | 580000 | 785788.4 |
| 2327 | 580000 | 798778.8 |
| 2328 | 580000 | 811769.1 |
| 2329 | 580000 | 824759.5 |
| 2330 | 580000 | 837749.9 |
| 2331 | 580000 | 850740.3 |
| 2332 | 580000 | 863730.7 |
| 2333 | 580000 | 876721.1 |
| 2334 | 580000 | 889711.4 |
| 2335 | 580000 | 902701.8 |
| 2336 | 580000 | 915692.2 |
| 2337 | 580000 | 928682.6 |
| 2338 | 580000 | 941673.0 |
| 2339 | 580000 | 954663.3 |
| 2340 | 580000 | 967653.7 |
| 2341 | 580000 | 980644.1 |
| 2342 | 580000 | 993634.5 |
| 2343 | 580000 | 1006624.9 |
| 2344 | 580000 | 1019615.2 |
| 2345 | 580000 | 1032605.6 |
| 2346 | 580000 | 1045596.0 |
| 2347 | 580000 | 1058586.4 |
| 2348 | 580000 | 1071576.8 |
| 2349 | 580000 | 1084567.1 |
| 2350 | 580000 | 1097557.5 |
| 2351 | 583750 | 506495.2 |
| 2352 | 583750 | 519485.6 |
| 2353 | 583750 | 532476.0 |
| 2354 | 583750 | 545466.3 |
| 2355 | 583750 | 558456.7 |
| 2356 | 583750 | 571447.1 |
| 2357 | 583750 | 584437.5 |
| 2358 | 583750 | 597427.9 |
| 2359 | 583750 | 610418.2 |
| 2360 | 583750 | 623408.6 |
| 2361 | 583750 | 636399.0 |
| 2362 | 583750 | 649389.4 |
| 2363 | 583750 | 662379.8 |
| 2364 | 583750 | 675370.1 |
| 2365 | 583750 | 688360.5 |
| 2366 | 583750 | 701350.9 |
| 2367 | 583750 | 714341.3 |
| 2368 | 583750 | 727331.7 |
| 2369 | 583750 | 740322.0 |
| 2370 | 583750 | 753312.4 |
| 2371 | 583750 | 766302.8 |
| 2372 | 583750 | 779293.2 |
| 2373 | 583750 | 792283.6 |
| 2374 | 583750 | 805274.0 |
| 2375 | 583750 | 818264.3 |
| 2376 | 583750 | 831254.7 |
| 2377 | 583750 | 844245.1 |
| 2378 | 583750 | 857235.5 |
| 2379 | 583750 | 870225.9 |
| 2380 | 583750 | 883216.2 |
| 2381 | 583750 | 896206.6 |
| 2382 | 583750 | 909197.0 |
| 2383 | 583750 | 922187.4 |
| 2384 | 583750 | 935177.8 |
| 2385 | 583750 | 948168.1 |
| 2386 | 583750 | 961158.5 |
| 2387 | 583750 | 974148.9 |
| 2388 | 583750 | 987139.3 |
| 2389 | 583750 | 1000129.7 |
| 2390 | 583750 | 1013120.1 |
| 2391 | 583750 | 1026110.4 |
| 2392 | 583750 | 1039100.8 |
| 2393 | 583750 | 1052091.2 |
| 2394 | 583750 | 1065081.6 |
| 2395 | 583750 | 1078072.0 |
| 2396 | 583750 | 1091062.3 |
| 2397 | 583750 | 1104052.7 |
| 2398 | 587500 | 500000.0 |
| 2399 | 587500 | 512990.4 |
| 2400 | 587500 | 525980.8 |
| 2401 | 587500 | 538971.1 |
| 2402 | 587500 | 551961.5 |
| 2403 | 587500 | 564951.9 |
| 2404 | 587500 | 577942.3 |
| 2405 | 587500 | 590932.7 |
| 2406 | 587500 | 603923.0 |
| 2407 | 587500 | 616913.4 |
| 2408 | 587500 | 629903.8 |
| 2409 | 587500 | 642894.2 |
| 2410 | 587500 | 655884.6 |
| 2411 | 587500 | 668875.0 |
| 2412 | 587500 | 681865.3 |
| 2413 | 587500 | 694855.7 |
| 2414 | 587500 | 707846.1 |
| 2415 | 587500 | 720836.5 |
| 2416 | 587500 | 733826.9 |
| 2417 | 587500 | 746817.2 |
| 2418 | 587500 | 759807.6 |
| 2419 | 587500 | 772798.0 |
| 2420 | 587500 | 785788.4 |
| 2421 | 587500 | 798778.8 |
| 2422 | 587500 | 811769.1 |
| 2423 | 587500 | 824759.5 |
| 2424 | 587500 | 837749.9 |
| 2425 | 587500 | 850740.3 |
| 2426 | 587500 | 863730.7 |
| 2427 | 587500 | 876721.1 |
| 2428 | 587500 | 889711.4 |
| 2429 | 587500 | 902701.8 |
| 2430 | 587500 | 915692.2 |
| 2431 | 587500 | 928682.6 |
| 2432 | 587500 | 941673.0 |
| 2433 | 587500 | 954663.3 |
| 2434 | 587500 | 967653.7 |
| 2435 | 587500 | 980644.1 |
| 2436 | 587500 | 993634.5 |
| 2437 | 587500 | 1006624.9 |
| 2438 | 587500 | 1019615.2 |
| 2439 | 587500 | 1032605.6 |
| 2440 | 587500 | 1045596.0 |
| 2441 | 587500 | 1058586.4 |
| 2442 | 587500 | 1071576.8 |
| 2443 | 587500 | 1084567.1 |
| 2444 | 587500 | 1097557.5 |
| 2445 | 591250 | 506495.2 |
| 2446 | 591250 | 519485.6 |
| 2447 | 591250 | 532476.0 |
| 2448 | 591250 | 545466.3 |
| 2449 | 591250 | 558456.7 |
| 2450 | 591250 | 571447.1 |
| 2451 | 591250 | 584437.5 |
| 2452 | 591250 | 597427.9 |
| 2453 | 591250 | 610418.2 |
| 2454 | 591250 | 623408.6 |
| 2455 | 591250 | 636399.0 |
| 2456 | 591250 | 649389.4 |
| 2457 | 591250 | 662379.8 |
| 2458 | 591250 | 675370.1 |
| 2459 | 591250 | 688360.5 |
| 2460 | 591250 | 701350.9 |
| 2461 | 591250 | 714341.3 |
| 2462 | 591250 | 727331.7 |
| 2463 | 591250 | 740322.0 |
| 2464 | 591250 | 753312.4 |
| 2465 | 591250 | 766302.8 |
| 2466 | 591250 | 779293.2 |
| 2467 | 591250 | 792283.6 |
| 2468 | 591250 | 805274.0 |
| 2469 | 591250 | 818264.3 |
| 2470 | 591250 | 831254.7 |
| 2471 | 591250 | 844245.1 |
| 2472 | 591250 | 857235.5 |
| 2473 | 591250 | 870225.9 |
| 2474 | 591250 | 883216.2 |
| 2475 | 591250 | 896206.6 |
| 2476 | 591250 | 909197.0 |
| 2477 | 591250 | 922187.4 |
| 2478 | 591250 | 935177.8 |
| 2479 | 591250 | 948168.1 |
| 2480 | 591250 | 961158.5 |
| 2481 | 591250 | 974148.9 |
| 2482 | 591250 | 987139.3 |
| 2483 | 591250 | 1000129.7 |
| 2484 | 591250 | 1013120.1 |
| 2485 | 591250 | 1026110.4 |
| 2486 | 591250 | 1039100.8 |
| 2487 | 591250 | 1052091.2 |
| 2488 | 591250 | 1065081.6 |
| 2489 | 591250 | 1078072.0 |
| 2490 | 591250 | 1091062.3 |
| 2491 | 591250 | 1104052.7 |
| 2492 | 595000 | 500000.0 |
| 2493 | 595000 | 512990.4 |
| 2494 | 595000 | 525980.8 |
| 2495 | 595000 | 538971.1 |
| 2496 | 595000 | 551961.5 |
| 2497 | 595000 | 564951.9 |
| 2498 | 595000 | 577942.3 |
| 2499 | 595000 | 590932.7 |
| 2500 | 595000 | 603923.0 |
| 2501 | 595000 | 616913.4 |
| 2502 | 595000 | 629903.8 |
| 2503 | 595000 | 642894.2 |
| 2504 | 595000 | 655884.6 |
| 2505 | 595000 | 668875.0 |
| 2506 | 595000 | 681865.3 |
| 2507 | 595000 | 694855.7 |
| 2508 | 595000 | 707846.1 |
| 2509 | 595000 | 720836.5 |
| 2510 | 595000 | 733826.9 |
| 2511 | 595000 | 746817.2 |
| 2512 | 595000 | 759807.6 |
| 2513 | 595000 | 772798.0 |
| 2514 | 595000 | 785788.4 |
| 2515 | 595000 | 798778.8 |
| 2516 | 595000 | 811769.1 |
| 2517 | 595000 | 824759.5 |
| 2518 | 595000 | 837749.9 |
| 2519 | 595000 | 850740.3 |
| 2520 | 595000 | 863730.7 |
| 2521 | 595000 | 876721.1 |
| 2522 | 595000 | 889711.4 |
| 2523 | 595000 | 902701.8 |
| 2524 | 595000 | 915692.2 |
| 2525 | 595000 | 928682.6 |
| 2526 | 595000 | 941673.0 |
| 2527 | 595000 | 954663.3 |
| 2528 | 595000 | 967653.7 |
| 2529 | 595000 | 980644.1 |
| 2530 | 595000 | 993634.5 |
| 2531 | 595000 | 1006624.9 |
| 2532 | 595000 | 1019615.2 |
| 2533 | 595000 | 1032605.6 |
| 2534 | 595000 | 1045596.0 |
| 2535 | 595000 | 1058586.4 |
| 2536 | 595000 | 1071576.8 |
| 2537 | 595000 | 1084567.1 |
| 2538 | 595000 | 1097557.5 |
| 2539 | 598750 | 506495.2 |
| 2540 | 598750 | 519485.6 |
| 2541 | 598750 | 532476.0 |
| 2542 | 598750 | 545466.3 |
| 2543 | 598750 | 558456.7 |
| 2544 | 598750 | 571447.1 |
| 2545 | 598750 | 584437.5 |
| 2546 | 598750 | 597427.9 |
| 2547 | 598750 | 610418.2 |
| 2548 | 598750 | 623408.6 |
| 2549 | 598750 | 636399.0 |
| 2550 | 598750 | 649389.4 |
| 2551 | 598750 | 662379.8 |
| 2552 | 598750 | 675370.1 |
| 2553 | 598750 | 688360.5 |
| 2554 | 598750 | 701350.9 |
| 2555 | 598750 | 714341.3 |
| 2556 | 598750 | 727331.7 |
| 2557 | 598750 | 740322.0 |
| 2558 | 598750 | 753312.4 |
| 2559 | 598750 | 766302.8 |
| 2560 | 598750 | 779293.2 |
| 2561 | 598750 | 792283.6 |
| 2562 | 598750 | 805274.0 |
| 2563 | 598750 | 818264.3 |
| 2564 | 598750 | 831254.7 |
| 2565 | 598750 | 844245.1 |
| 2566 | 598750 | 857235.5 |
| 2567 | 598750 | 870225.9 |
| 2568 | 598750 | 883216.2 |
| 2569 | 598750 | 896206.6 |
| 2570 | 598750 | 909197.0 |
| 2571 | 598750 | 922187.4 |
| 2572 | 598750 | 935177.8 |
| 2573 | 598750 | 948168.1 |
| 2574 | 598750 | 961158.5 |
| 2575 | 598750 | 974148.9 |
| 2576 | 598750 | 987139.3 |
| 2577 | 598750 | 1000129.7 |
| 2578 | 598750 | 1013120.1 |
| 2579 | 598750 | 1026110.4 |
| 2580 | 598750 | 1039100.8 |
| 2581 | 598750 | 1052091.2 |
| 2582 | 598750 | 1065081.6 |
| 2583 | 598750 | 1078072.0 |
| 2584 | 598750 | 1091062.3 |
| 2585 | 598750 | 1104052.7 |
| 2586 | 602500 | 500000.0 |
| 2587 | 602500 | 512990.4 |
| 2588 | 602500 | 525980.8 |
| 2589 | 602500 | 538971.1 |
| 2590 | 602500 | 551961.5 |
| 2591 | 602500 | 564951.9 |
| 2592 | 602500 | 577942.3 |
| 2593 | 602500 | 590932.7 |
| 2594 | 602500 | 603923.0 |
| 2595 | 602500 | 616913.4 |
| 2596 | 602500 | 629903.8 |
| 2597 | 602500 | 642894.2 |
| 2598 | 602500 | 655884.6 |
| 2599 | 602500 | 668875.0 |
| 2600 | 602500 | 681865.3 |
| 2601 | 602500 | 694855.7 |
| 2602 | 602500 | 707846.1 |
| 2603 | 602500 | 720836.5 |
| 2604 | 602500 | 733826.9 |
| 2605 | 602500 | 746817.2 |
| 2606 | 602500 | 759807.6 |
| 2607 | 602500 | 772798.0 |
| 2608 | 602500 | 785788.4 |
| 2609 | 602500 | 798778.8 |
| 2610 | 602500 | 811769.1 |
| 2611 | 602500 | 824759.5 |
| 2612 | 602500 | 837749.9 |
| 2613 | 602500 | 850740.3 |
| 2614 | 602500 | 863730.7 |
| 2615 | 602500 | 876721.1 |
| 2616 | 602500 | 889711.4 |
| 2617 | 602500 | 902701.8 |
| 2618 | 602500 | 915692.2 |
| 2619 | 602500 | 928682.6 |
| 2620 | 602500 | 941673.0 |
| 2621 | 602500 | 954663.3 |
| 2622 | 602500 | 967653.7 |
| 2623 | 602500 | 980644.1 |
| 2624 | 602500 | 993634.5 |
| 2625 | 602500 | 1006624.9 |
| 2626 | 602500 | 1019615.2 |
| 2627 | 602500 | 1032605.6 |
| 2628 | 602500 | 1045596.0 |
| 2629 | 602500 | 1058586.4 |
| 2630 | 602500 | 1071576.8 |
| 2631 | 602500 | 1084567.1 |
| 2632 | 602500 | 1097557.5 |
| 2633 | 606250 | 506495.2 |
| 2634 | 606250 | 519485.6 |
| 2635 | 606250 | 532476.0 |
| 2636 | 606250 | 545466.3 |
| 2637 | 606250 | 558456.7 |
| 2638 | 606250 | 571447.1 |
| 2639 | 606250 | 584437.5 |
| 2640 | 606250 | 597427.9 |
| 2641 | 606250 | 610418.2 |
| 2642 | 606250 | 623408.6 |
| 2643 | 606250 | 636399.0 |
| 2644 | 606250 | 649389.4 |
| 2645 | 606250 | 662379.8 |
| 2646 | 606250 | 675370.1 |
| 2647 | 606250 | 688360.5 |
| 2648 | 606250 | 701350.9 |
| 2649 | 606250 | 714341.3 |
| 2650 | 606250 | 727331.7 |
| 2651 | 606250 | 740322.0 |
| 2652 | 606250 | 753312.4 |
| 2653 | 606250 | 766302.8 |
| 2654 | 606250 | 779293.2 |
| 2655 | 606250 | 792283.6 |
| 2656 | 606250 | 805274.0 |
| 2657 | 606250 | 818264.3 |
| 2658 | 606250 | 831254.7 |
| 2659 | 606250 | 844245.1 |
| 2660 | 606250 | 857235.5 |
| 2661 | 606250 | 870225.9 |
| 2662 | 606250 | 883216.2 |
| 2663 | 606250 | 896206.6 |
| 2664 | 606250 | 909197.0 |
| 2665 | 606250 | 922187.4 |
| 2666 | 606250 | 935177.8 |
| 2667 | 606250 | 948168.1 |
| 2668 | 606250 | 961158.5 |
| 2669 | 606250 | 974148.9 |
| 2670 | 606250 | 987139.3 |
| 2671 | 606250 | 1000129.7 |
| 2672 | 606250 | 1013120.1 |
| 2673 | 606250 | 1026110.4 |
| 2674 | 606250 | 1039100.8 |
| 2675 | 606250 | 1052091.2 |
| 2676 | 606250 | 1065081.6 |
| 2677 | 606250 | 1078072.0 |
| 2678 | 606250 | 1091062.3 |
| 2679 | 606250 | 1104052.7 |
| 2680 | 610000 | 500000.0 |
| 2681 | 610000 | 512990.4 |
| 2682 | 610000 | 525980.8 |
| 2683 | 610000 | 538971.1 |
| 2684 | 610000 | 551961.5 |
| 2685 | 610000 | 564951.9 |
| 2686 | 610000 | 577942.3 |
| 2687 | 610000 | 590932.7 |
| 2688 | 610000 | 603923.0 |
| 2689 | 610000 | 616913.4 |
| 2690 | 610000 | 629903.8 |
| 2691 | 610000 | 642894.2 |
| 2692 | 610000 | 655884.6 |
| 2693 | 610000 | 668875.0 |
| 2694 | 610000 | 681865.3 |
| 2695 | 610000 | 694855.7 |
| 2696 | 610000 | 707846.1 |
| 2697 | 610000 | 720836.5 |
| 2698 | 610000 | 733826.9 |
| 2699 | 610000 | 746817.2 |
| 2700 | 610000 | 759807.6 |
| 2701 | 610000 | 772798.0 |
| 2702 | 610000 | 785788.4 |
| 2703 | 610000 | 798778.8 |
| 2704 | 610000 | 811769.1 |
| 2705 | 610000 | 824759.5 |
| 2706 | 610000 | 837749.9 |
| 2707 | 610000 | 850740.3 |
| 2708 | 610000 | 863730.7 |
| 2709 | 610000 | 876721.1 |
| 2710 | 610000 | 889711.4 |
| 2711 | 610000 | 902701.8 |
| 2712 | 610000 | 915692.2 |
| 2713 | 610000 | 928682.6 |
| 2714 | 610000 | 941673.0 |
| 2715 | 610000 | 954663.3 |
| 2716 | 610000 | 967653.7 |
| 2717 | 610000 | 980644.1 |
| 2718 | 610000 | 993634.5 |
| 2719 | 610000 | 1006624.9 |
| 2720 | 610000 | 1019615.2 |
| 2721 | 610000 | 1032605.6 |
| 2722 | 610000 | 1045596.0 |
| 2723 | 610000 | 1058586.4 |
| 2724 | 610000 | 1071576.8 |
| 2725 | 610000 | 1084567.1 |
| 2726 | 610000 | 1097557.5 |
| 2727 | 613750 | 506495.2 |
| 2728 | 613750 | 519485.6 |
| 2729 | 613750 | 532476.0 |
| 2730 | 613750 | 545466.3 |
| 2731 | 613750 | 558456.7 |
| 2732 | 613750 | 571447.1 |
| 2733 | 613750 | 584437.5 |
| 2734 | 613750 | 597427.9 |
| 2735 | 613750 | 610418.2 |
| 2736 | 613750 | 623408.6 |
| 2737 | 613750 | 636399.0 |
| 2738 | 613750 | 649389.4 |
| 2739 | 613750 | 662379.8 |
| 2740 | 613750 | 675370.1 |
| 2741 | 613750 | 688360.5 |
| 2742 | 613750 | 701350.9 |
| 2743 | 613750 | 714341.3 |
| 2744 | 613750 | 727331.7 |
| 2745 | 613750 | 740322.0 |
| 2746 | 613750 | 753312.4 |
| 2747 | 613750 | 766302.8 |
| 2748 | 613750 | 779293.2 |
| 2749 | 613750 | 792283.6 |
| 2750 | 613750 | 805274.0 |
| 2751 | 613750 | 818264.3 |
| 2752 | 613750 | 831254.7 |
| 2753 | 613750 | 844245.1 |
| 2754 | 613750 | 857235.5 |
| 2755 | 613750 | 870225.9 |
| 2756 | 613750 | 883216.2 |
| 2757 | 613750 | 896206.6 |
| 2758 | 613750 | 909197.0 |
| 2759 | 613750 | 922187.4 |
| 2760 | 613750 | 935177.8 |
| 2761 | 613750 | 948168.1 |
| 2762 | 613750 | 961158.5 |
| 2763 | 613750 | 974148.9 |
| 2764 | 613750 | 987139.3 |
| 2765 | 613750 | 1000129.7 |
| 2766 | 613750 | 1013120.1 |
| 2767 | 613750 | 1026110.4 |
| 2768 | 613750 | 1039100.8 |
| 2769 | 613750 | 1052091.2 |
| 2770 | 613750 | 1065081.6 |
| 2771 | 613750 | 1078072.0 |
| 2772 | 613750 | 1091062.3 |
| 2773 | 613750 | 1104052.7 |
| 2774 | 617500 | 500000.0 |
| 2775 | 617500 | 512990.4 |
| 2776 | 617500 | 525980.8 |
| 2777 | 617500 | 538971.1 |
| 2778 | 617500 | 551961.5 |
| 2779 | 617500 | 564951.9 |
| 2780 | 617500 | 577942.3 |
| 2781 | 617500 | 590932.7 |
| 2782 | 617500 | 603923.0 |
| 2783 | 617500 | 616913.4 |
| 2784 | 617500 | 629903.8 |
| 2785 | 617500 | 642894.2 |
| 2786 | 617500 | 655884.6 |
| 2787 | 617500 | 668875.0 |
| 2788 | 617500 | 681865.3 |
| 2789 | 617500 | 694855.7 |
| 2790 | 617500 | 707846.1 |
| 2791 | 617500 | 720836.5 |
| 2792 | 617500 | 733826.9 |
| 2793 | 617500 | 746817.2 |
| 2794 | 617500 | 759807.6 |
| 2795 | 617500 | 772798.0 |
| 2796 | 617500 | 785788.4 |
| 2797 | 617500 | 798778.8 |
| 2798 | 617500 | 811769.1 |
| 2799 | 617500 | 824759.5 |
| 2800 | 617500 | 837749.9 |
| 2801 | 617500 | 850740.3 |
| 2802 | 617500 | 863730.7 |
| 2803 | 617500 | 876721.1 |
| 2804 | 617500 | 889711.4 |
| 2805 | 617500 | 902701.8 |
| 2806 | 617500 | 915692.2 |
| 2807 | 617500 | 928682.6 |
| 2808 | 617500 | 941673.0 |
| 2809 | 617500 | 954663.3 |
| 2810 | 617500 | 967653.7 |
| 2811 | 617500 | 980644.1 |
| 2812 | 617500 | 993634.5 |
| 2813 | 617500 | 1006624.9 |
| 2814 | 617500 | 1019615.2 |
| 2815 | 617500 | 1032605.6 |
| 2816 | 617500 | 1045596.0 |
| 2817 | 617500 | 1058586.4 |
| 2818 | 617500 | 1071576.8 |
| 2819 | 617500 | 1084567.1 |
| 2820 | 617500 | 1097557.5 |
| 2821 | 621250 | 506495.2 |
| 2822 | 621250 | 519485.6 |
| 2823 | 621250 | 532476.0 |
| 2824 | 621250 | 545466.3 |
| 2825 | 621250 | 558456.7 |
| 2826 | 621250 | 571447.1 |
| 2827 | 621250 | 584437.5 |
| 2828 | 621250 | 597427.9 |
| 2829 | 621250 | 610418.2 |
| 2830 | 621250 | 623408.6 |
| 2831 | 621250 | 636399.0 |
| 2832 | 621250 | 649389.4 |
| 2833 | 621250 | 662379.8 |
| 2834 | 621250 | 675370.1 |
| 2835 | 621250 | 688360.5 |
| 2836 | 621250 | 701350.9 |
| 2837 | 621250 | 714341.3 |
| 2838 | 621250 | 727331.7 |
| 2839 | 621250 | 740322.0 |
| 2840 | 621250 | 753312.4 |
| 2841 | 621250 | 766302.8 |
| 2842 | 621250 | 779293.2 |
| 2843 | 621250 | 792283.6 |
| 2844 | 621250 | 805274.0 |
| 2845 | 621250 | 818264.3 |
| 2846 | 621250 | 831254.7 |
| 2847 | 621250 | 844245.1 |
| 2848 | 621250 | 857235.5 |
| 2849 | 621250 | 870225.9 |
| 2850 | 621250 | 883216.2 |
| 2851 | 621250 | 896206.6 |
| 2852 | 621250 | 909197.0 |
| 2853 | 621250 | 922187.4 |
| 2854 | 621250 | 935177.8 |
| 2855 | 621250 | 948168.1 |
| 2856 | 621250 | 961158.5 |
| 2857 | 621250 | 974148.9 |
| 2858 | 621250 | 987139.3 |
| 2859 | 621250 | 1000129.7 |
| 2860 | 621250 | 1013120.1 |
| 2861 | 621250 | 1026110.4 |
| 2862 | 621250 | 1039100.8 |
| 2863 | 621250 | 1052091.2 |
| 2864 | 621250 | 1065081.6 |
| 2865 | 621250 | 1078072.0 |
| 2866 | 621250 | 1091062.3 |
| 2867 | 621250 | 1104052.7 |
| 2868 | 625000 | 500000.0 |
| 2869 | 625000 | 512990.4 |
| 2870 | 625000 | 525980.8 |
| 2871 | 625000 | 538971.1 |
| 2872 | 625000 | 551961.5 |
| 2873 | 625000 | 564951.9 |
| 2874 | 625000 | 577942.3 |
| 2875 | 625000 | 590932.7 |
| 2876 | 625000 | 603923.0 |
| 2877 | 625000 | 616913.4 |
| 2878 | 625000 | 629903.8 |
| 2879 | 625000 | 642894.2 |
| 2880 | 625000 | 655884.6 |
| 2881 | 625000 | 668875.0 |
| 2882 | 625000 | 681865.3 |
| 2883 | 625000 | 694855.7 |
| 2884 | 625000 | 707846.1 |
| 2885 | 625000 | 720836.5 |
| 2886 | 625000 | 733826.9 |
| 2887 | 625000 | 746817.2 |
| 2888 | 625000 | 759807.6 |
| 2889 | 625000 | 772798.0 |
| 2890 | 625000 | 785788.4 |
| 2891 | 625000 | 798778.8 |
| 2892 | 625000 | 811769.1 |
| 2893 | 625000 | 824759.5 |
| 2894 | 625000 | 837749.9 |
| 2895 | 625000 | 850740.3 |
| 2896 | 625000 | 863730.7 |
| 2897 | 625000 | 876721.1 |
| 2898 | 625000 | 889711.4 |
| 2899 | 625000 | 902701.8 |
| 2900 | 625000 | 915692.2 |
| 2901 | 625000 | 928682.6 |
| 2902 | 625000 | 941673.0 |
| 2903 | 625000 | 954663.3 |
| 2904 | 625000 | 967653.7 |
| 2905 | 625000 | 980644.1 |
| 2906 | 625000 | 993634.5 |
| 2907 | 625000 | 1006624.9 |
| 2908 | 625000 | 1019615.2 |
| 2909 | 625000 | 1032605.6 |
| 2910 | 625000 | 1045596.0 |
| 2911 | 625000 | 1058586.4 |
| 2912 | 625000 | 1071576.8 |
| 2913 | 625000 | 1084567.1 |
| 2914 | 625000 | 1097557.5 |
| 2915 | 628750 | 506495.2 |
| 2916 | 628750 | 519485.6 |
| 2917 | 628750 | 532476.0 |
| 2918 | 628750 | 545466.3 |
| 2919 | 628750 | 558456.7 |
| 2920 | 628750 | 571447.1 |
| 2921 | 628750 | 584437.5 |
| 2922 | 628750 | 597427.9 |
| 2923 | 628750 | 610418.2 |
| 2924 | 628750 | 623408.6 |
| 2925 | 628750 | 636399.0 |
| 2926 | 628750 | 649389.4 |
| 2927 | 628750 | 662379.8 |
| 2928 | 628750 | 675370.1 |
| 2929 | 628750 | 688360.5 |
| 2930 | 628750 | 701350.9 |
| 2931 | 628750 | 714341.3 |
| 2932 | 628750 | 727331.7 |
| 2933 | 628750 | 740322.0 |
| 2934 | 628750 | 753312.4 |
| 2935 | 628750 | 766302.8 |
| 2936 | 628750 | 779293.2 |
| 2937 | 628750 | 792283.6 |
| 2938 | 628750 | 805274.0 |
| 2939 | 628750 | 818264.3 |
| 2940 | 628750 | 831254.7 |
| 2941 | 628750 | 844245.1 |
| 2942 | 628750 | 857235.5 |
| 2943 | 628750 | 870225.9 |
| 2944 | 628750 | 883216.2 |
| 2945 | 628750 | 896206.6 |
| 2946 | 628750 | 909197.0 |
| 2947 | 628750 | 922187.4 |
| 2948 | 628750 | 935177.8 |
| 2949 | 628750 | 948168.1 |
| 2950 | 628750 | 961158.5 |
| 2951 | 628750 | 974148.9 |
| 2952 | 628750 | 987139.3 |
| 2953 | 628750 | 1000129.7 |
| 2954 | 628750 | 1013120.1 |
| 2955 | 628750 | 1026110.4 |
| 2956 | 628750 | 1039100.8 |
| 2957 | 628750 | 1052091.2 |
| 2958 | 628750 | 1065081.6 |
| 2959 | 628750 | 1078072.0 |
| 2960 | 628750 | 1091062.3 |
| 2961 | 628750 | 1104052.7 |
| 2962 | 632500 | 500000.0 |
| 2963 | 632500 | 512990.4 |
| 2964 | 632500 | 525980.8 |
| 2965 | 632500 | 538971.1 |
| 2966 | 632500 | 551961.5 |
| 2967 | 632500 | 564951.9 |
| 2968 | 632500 | 577942.3 |
| 2969 | 632500 | 590932.7 |
| 2970 | 632500 | 603923.0 |
| 2971 | 632500 | 616913.4 |
| 2972 | 632500 | 629903.8 |
| 2973 | 632500 | 642894.2 |
| 2974 | 632500 | 655884.6 |
| 2975 | 632500 | 668875.0 |
| 2976 | 632500 | 681865.3 |
| 2977 | 632500 | 694855.7 |
| 2978 | 632500 | 707846.1 |
| 2979 | 632500 | 720836.5 |
| 2980 | 632500 | 733826.9 |
| 2981 | 632500 | 746817.2 |
| 2982 | 632500 | 759807.6 |
| 2983 | 632500 | 772798.0 |
| 2984 | 632500 | 785788.4 |
| 2985 | 632500 | 798778.8 |
| 2986 | 632500 | 811769.1 |
| 2987 | 632500 | 824759.5 |
| 2988 | 632500 | 837749.9 |
| 2989 | 632500 | 850740.3 |
| 2990 | 632500 | 863730.7 |
| 2991 | 632500 | 876721.1 |
| 2992 | 632500 | 889711.4 |
| 2993 | 632500 | 902701.8 |
| 2994 | 632500 | 915692.2 |
| 2995 | 632500 | 928682.6 |
| 2996 | 632500 | 941673.0 |
| 2997 | 632500 | 954663.3 |
| 2998 | 632500 | 967653.7 |
| 2999 | 632500 | 980644.1 |
| 3000 | 632500 | 993634.5 |
| 3001 | 632500 | 1006624.9 |
| 3002 | 632500 | 1019615.2 |
| 3003 | 632500 | 1032605.6 |
| 3004 | 632500 | 1045596.0 |
| 3005 | 632500 | 1058586.4 |
| 3006 | 632500 | 1071576.8 |
| 3007 | 632500 | 1084567.1 |
| 3008 | 632500 | 1097557.5 |
| 3009 | 636250 | 506495.2 |
| 3010 | 636250 | 519485.6 |
| 3011 | 636250 | 532476.0 |
| 3012 | 636250 | 545466.3 |
| 3013 | 636250 | 558456.7 |
| 3014 | 636250 | 571447.1 |
| 3015 | 636250 | 584437.5 |
| 3016 | 636250 | 597427.9 |
| 3017 | 636250 | 610418.2 |
| 3018 | 636250 | 623408.6 |
| 3019 | 636250 | 636399.0 |
| 3020 | 636250 | 649389.4 |
| 3021 | 636250 | 662379.8 |
| 3022 | 636250 | 675370.1 |
| 3023 | 636250 | 688360.5 |
| 3024 | 636250 | 701350.9 |
| 3025 | 636250 | 714341.3 |
| 3026 | 636250 | 727331.7 |
| 3027 | 636250 | 740322.0 |
| 3028 | 636250 | 753312.4 |
| 3029 | 636250 | 766302.8 |
| 3030 | 636250 | 779293.2 |
| 3031 | 636250 | 792283.6 |
| 3032 | 636250 | 805274.0 |
| 3033 | 636250 | 818264.3 |
| 3034 | 636250 | 831254.7 |
| 3035 | 636250 | 844245.1 |
| 3036 | 636250 | 857235.5 |
| 3037 | 636250 | 870225.9 |
| 3038 | 636250 | 883216.2 |
| 3039 | 636250 | 896206.6 |
| 3040 | 636250 | 909197.0 |
| 3041 | 636250 | 922187.4 |
| 3042 | 636250 | 935177.8 |
| 3043 | 636250 | 948168.1 |
| 3044 | 636250 | 961158.5 |
| 3045 | 636250 | 974148.9 |
| 3046 | 636250 | 987139.3 |
| 3047 | 636250 | 1000129.7 |
| 3048 | 636250 | 1013120.1 |
| 3049 | 636250 | 1026110.4 |
| 3050 | 636250 | 1039100.8 |
| 3051 | 636250 | 1052091.2 |
| 3052 | 636250 | 1065081.6 |
| 3053 | 636250 | 1078072.0 |
| 3054 | 636250 | 1091062.3 |
| 3055 | 636250 | 1104052.7 |
| 3056 | 640000 | 500000.0 |
| 3057 | 640000 | 512990.4 |
| 3058 | 640000 | 525980.8 |
| 3059 | 640000 | 538971.1 |
| 3060 | 640000 | 551961.5 |
| 3061 | 640000 | 564951.9 |
| 3062 | 640000 | 577942.3 |
| 3063 | 640000 | 590932.7 |
| 3064 | 640000 | 603923.0 |
| 3065 | 640000 | 616913.4 |
| 3066 | 640000 | 629903.8 |
| 3067 | 640000 | 642894.2 |
| 3068 | 640000 | 655884.6 |
| 3069 | 640000 | 668875.0 |
| 3070 | 640000 | 681865.3 |
| 3071 | 640000 | 694855.7 |
| 3072 | 640000 | 707846.1 |
| 3073 | 640000 | 720836.5 |
| 3074 | 640000 | 733826.9 |
| 3075 | 640000 | 746817.2 |
| 3076 | 640000 | 759807.6 |
| 3077 | 640000 | 772798.0 |
| 3078 | 640000 | 785788.4 |
| 3079 | 640000 | 798778.8 |
| 3080 | 640000 | 811769.1 |
| 3081 | 640000 | 824759.5 |
| 3082 | 640000 | 837749.9 |
| 3083 | 640000 | 850740.3 |
| 3084 | 640000 | 863730.7 |
| 3085 | 640000 | 876721.1 |
| 3086 | 640000 | 889711.4 |
| 3087 | 640000 | 902701.8 |
| 3088 | 640000 | 915692.2 |
| 3089 | 640000 | 928682.6 |
| 3090 | 640000 | 941673.0 |
| 3091 | 640000 | 954663.3 |
| 3092 | 640000 | 967653.7 |
| 3093 | 640000 | 980644.1 |
| 3094 | 640000 | 993634.5 |
| 3095 | 640000 | 1006624.9 |
| 3096 | 640000 | 1019615.2 |
| 3097 | 640000 | 1032605.6 |
| 3098 | 640000 | 1045596.0 |
| 3099 | 640000 | 1058586.4 |
| 3100 | 640000 | 1071576.8 |
| 3101 | 640000 | 1084567.1 |
| 3102 | 640000 | 1097557.5 |
| 3103 | 643750 | 506495.2 |
| 3104 | 643750 | 519485.6 |
| 3105 | 643750 | 532476.0 |
| 3106 | 643750 | 545466.3 |
| 3107 | 643750 | 558456.7 |
| 3108 | 643750 | 571447.1 |
| 3109 | 643750 | 584437.5 |
| 3110 | 643750 | 597427.9 |
| 3111 | 643750 | 610418.2 |
| 3112 | 643750 | 623408.6 |
| 3113 | 643750 | 636399.0 |
| 3114 | 643750 | 649389.4 |
| 3115 | 643750 | 662379.8 |
| 3116 | 643750 | 675370.1 |
| 3117 | 643750 | 688360.5 |
| 3118 | 643750 | 701350.9 |
| 3119 | 643750 | 714341.3 |
| 3120 | 643750 | 727331.7 |
| 3121 | 643750 | 740322.0 |
| 3122 | 643750 | 753312.4 |
| 3123 | 643750 | 766302.8 |
| 3124 | 643750 | 779293.2 |
| 3125 | 643750 | 792283.6 |
| 3126 | 643750 | 805274.0 |
| 3127 | 643750 | 818264.3 |
| 3128 | 643750 | 831254.7 |
| 3129 | 643750 | 844245.1 |
| 3130 | 643750 | 857235.5 |
| 3131 | 643750 | 870225.9 |
| 3132 | 643750 | 883216.2 |
| 3133 | 643750 | 896206.6 |
| 3134 | 643750 | 909197.0 |
| 3135 | 643750 | 922187.4 |
| 3136 | 643750 | 935177.8 |
| 3137 | 643750 | 948168.1 |
| 3138 | 643750 | 961158.5 |
| 3139 | 643750 | 974148.9 |
| 3140 | 643750 | 987139.3 |
| 3141 | 643750 | 1000129.7 |
| 3142 | 643750 | 1013120.1 |
| 3143 | 643750 | 1026110.4 |
| 3144 | 643750 | 1039100.8 |
| 3145 | 643750 | 1052091.2 |
| 3146 | 643750 | 1065081.6 |
| 3147 | 643750 | 1078072.0 |
| 3148 | 643750 | 1091062.3 |
| 3149 | 643750 | 1104052.7 |
| 3150 | 647500 | 500000.0 |
| 3151 | 647500 | 512990.4 |
| 3152 | 647500 | 525980.8 |
| 3153 | 647500 | 538971.1 |
| 3154 | 647500 | 551961.5 |
| 3155 | 647500 | 564951.9 |
| 3156 | 647500 | 577942.3 |
| 3157 | 647500 | 590932.7 |
| 3158 | 647500 | 603923.0 |
| 3159 | 647500 | 616913.4 |
| 3160 | 647500 | 629903.8 |
| 3161 | 647500 | 642894.2 |
| 3162 | 647500 | 655884.6 |
| 3163 | 647500 | 668875.0 |
| 3164 | 647500 | 681865.3 |
| 3165 | 647500 | 694855.7 |
| 3166 | 647500 | 707846.1 |
| 3167 | 647500 | 720836.5 |
| 3168 | 647500 | 733826.9 |
| 3169 | 647500 | 746817.2 |
| 3170 | 647500 | 759807.6 |
| 3171 | 647500 | 772798.0 |
| 3172 | 647500 | 785788.4 |
| 3173 | 647500 | 798778.8 |
| 3174 | 647500 | 811769.1 |
| 3175 | 647500 | 824759.5 |
| 3176 | 647500 | 837749.9 |
| 3177 | 647500 | 850740.3 |
| 3178 | 647500 | 863730.7 |
| 3179 | 647500 | 876721.1 |
| 3180 | 647500 | 889711.4 |
| 3181 | 647500 | 902701.8 |
| 3182 | 647500 | 915692.2 |
| 3183 | 647500 | 928682.6 |
| 3184 | 647500 | 941673.0 |
| 3185 | 647500 | 954663.3 |
| 3186 | 647500 | 967653.7 |
| 3187 | 647500 | 980644.1 |
| 3188 | 647500 | 993634.5 |
| 3189 | 647500 | 1006624.9 |
| 3190 | 647500 | 1019615.2 |
| 3191 | 647500 | 1032605.6 |
| 3192 | 647500 | 1045596.0 |
| 3193 | 647500 | 1058586.4 |
| 3194 | 647500 | 1071576.8 |
| 3195 | 647500 | 1084567.1 |
| 3196 | 647500 | 1097557.5 |
| 3197 | 651250 | 506495.2 |
| 3198 | 651250 | 519485.6 |
| 3199 | 651250 | 532476.0 |
| 3200 | 651250 | 545466.3 |
| 3201 | 651250 | 558456.7 |
| 3202 | 651250 | 571447.1 |
| 3203 | 651250 | 584437.5 |
| 3204 | 651250 | 597427.9 |
| 3205 | 651250 | 610418.2 |
| 3206 | 651250 | 623408.6 |
| 3207 | 651250 | 636399.0 |
| 3208 | 651250 | 649389.4 |
| 3209 | 651250 | 662379.8 |
| 3210 | 651250 | 675370.1 |
| 3211 | 651250 | 688360.5 |
| 3212 | 651250 | 701350.9 |
| 3213 | 651250 | 714341.3 |
| 3214 | 651250 | 727331.7 |
| 3215 | 651250 | 740322.0 |
| 3216 | 651250 | 753312.4 |
| 3217 | 651250 | 766302.8 |
| 3218 | 651250 | 779293.2 |
| 3219 | 651250 | 792283.6 |
| 3220 | 651250 | 805274.0 |
| 3221 | 651250 | 818264.3 |
| 3222 | 651250 | 831254.7 |
| 3223 | 651250 | 844245.1 |
| 3224 | 651250 | 857235.5 |
| 3225 | 651250 | 870225.9 |
| 3226 | 651250 | 883216.2 |
| 3227 | 651250 | 896206.6 |
| 3228 | 651250 | 909197.0 |
| 3229 | 651250 | 922187.4 |
| 3230 | 651250 | 935177.8 |
| 3231 | 651250 | 948168.1 |
| 3232 | 651250 | 961158.5 |
| 3233 | 651250 | 974148.9 |
| 3234 | 651250 | 987139.3 |
| 3235 | 651250 | 1000129.7 |
| 3236 | 651250 | 1013120.1 |
| 3237 | 651250 | 1026110.4 |
| 3238 | 651250 | 1039100.8 |
| 3239 | 651250 | 1052091.2 |
| 3240 | 651250 | 1065081.6 |
| 3241 | 651250 | 1078072.0 |
| 3242 | 651250 | 1091062.3 |
| 3243 | 651250 | 1104052.7 |
| 3244 | 655000 | 500000.0 |
| 3245 | 655000 | 512990.4 |
| 3246 | 655000 | 525980.8 |
| 3247 | 655000 | 538971.1 |
| 3248 | 655000 | 551961.5 |
| 3249 | 655000 | 564951.9 |
| 3250 | 655000 | 577942.3 |
| 3251 | 655000 | 590932.7 |
| 3252 | 655000 | 603923.0 |
| 3253 | 655000 | 616913.4 |
| 3254 | 655000 | 629903.8 |
| 3255 | 655000 | 642894.2 |
| 3256 | 655000 | 655884.6 |
| 3257 | 655000 | 668875.0 |
| 3258 | 655000 | 681865.3 |
| 3259 | 655000 | 694855.7 |
| 3260 | 655000 | 707846.1 |
| 3261 | 655000 | 720836.5 |
| 3262 | 655000 | 733826.9 |
| 3263 | 655000 | 746817.2 |
| 3264 | 655000 | 759807.6 |
| 3265 | 655000 | 772798.0 |
| 3266 | 655000 | 785788.4 |
| 3267 | 655000 | 798778.8 |
| 3268 | 655000 | 811769.1 |
| 3269 | 655000 | 824759.5 |
| 3270 | 655000 | 837749.9 |
| 3271 | 655000 | 850740.3 |
| 3272 | 655000 | 863730.7 |
| 3273 | 655000 | 876721.1 |
| 3274 | 655000 | 889711.4 |
| 3275 | 655000 | 902701.8 |
| 3276 | 655000 | 915692.2 |
| 3277 | 655000 | 928682.6 |
| 3278 | 655000 | 941673.0 |
| 3279 | 655000 | 954663.3 |
| 3280 | 655000 | 967653.7 |
| 3281 | 655000 | 980644.1 |
| 3282 | 655000 | 993634.5 |
| 3283 | 655000 | 1006624.9 |
| 3284 | 655000 | 1019615.2 |
| 3285 | 655000 | 1032605.6 |
| 3286 | 655000 | 1045596.0 |
| 3287 | 655000 | 1058586.4 |
| 3288 | 655000 | 1071576.8 |
| 3289 | 655000 | 1084567.1 |
| 3290 | 655000 | 1097557.5 |
| 3291 | 658750 | 506495.2 |
| 3292 | 658750 | 519485.6 |
| 3293 | 658750 | 532476.0 |
| 3294 | 658750 | 545466.3 |
| 3295 | 658750 | 558456.7 |
| 3296 | 658750 | 571447.1 |
| 3297 | 658750 | 584437.5 |
| 3298 | 658750 | 597427.9 |
| 3299 | 658750 | 610418.2 |
| 3300 | 658750 | 623408.6 |
| 3301 | 658750 | 636399.0 |
| 3302 | 658750 | 649389.4 |
| 3303 | 658750 | 662379.8 |
| 3304 | 658750 | 675370.1 |
| 3305 | 658750 | 688360.5 |
| 3306 | 658750 | 701350.9 |
| 3307 | 658750 | 714341.3 |
| 3308 | 658750 | 727331.7 |
| 3309 | 658750 | 740322.0 |
| 3310 | 658750 | 753312.4 |
| 3311 | 658750 | 766302.8 |
| 3312 | 658750 | 779293.2 |
| 3313 | 658750 | 792283.6 |
| 3314 | 658750 | 805274.0 |
| 3315 | 658750 | 818264.3 |
| 3316 | 658750 | 831254.7 |
| 3317 | 658750 | 844245.1 |
| 3318 | 658750 | 857235.5 |
| 3319 | 658750 | 870225.9 |
| 3320 | 658750 | 883216.2 |
| 3321 | 658750 | 896206.6 |
| 3322 | 658750 | 909197.0 |
| 3323 | 658750 | 922187.4 |
| 3324 | 658750 | 935177.8 |
| 3325 | 658750 | 948168.1 |
| 3326 | 658750 | 961158.5 |
| 3327 | 658750 | 974148.9 |
| 3328 | 658750 | 987139.3 |
| 3329 | 658750 | 1000129.7 |
| 3330 | 658750 | 1013120.1 |
| 3331 | 658750 | 1026110.4 |
| 3332 | 658750 | 1039100.8 |
| 3333 | 658750 | 1052091.2 |
| 3334 | 658750 | 1065081.6 |
| 3335 | 658750 | 1078072.0 |
| 3336 | 658750 | 1091062.3 |
| 3337 | 658750 | 1104052.7 |
| 3338 | 662500 | 500000.0 |
| 3339 | 662500 | 512990.4 |
| 3340 | 662500 | 525980.8 |
| 3341 | 662500 | 538971.1 |
| 3342 | 662500 | 551961.5 |
| 3343 | 662500 | 564951.9 |
| 3344 | 662500 | 577942.3 |
| 3345 | 662500 | 590932.7 |
| 3346 | 662500 | 603923.0 |
| 3347 | 662500 | 616913.4 |
| 3348 | 662500 | 629903.8 |
| 3349 | 662500 | 642894.2 |
| 3350 | 662500 | 655884.6 |
| 3351 | 662500 | 668875.0 |
| 3352 | 662500 | 681865.3 |
| 3353 | 662500 | 694855.7 |
| 3354 | 662500 | 707846.1 |
| 3355 | 662500 | 720836.5 |
| 3356 | 662500 | 733826.9 |
| 3357 | 662500 | 746817.2 |
| 3358 | 662500 | 759807.6 |
| 3359 | 662500 | 772798.0 |
| 3360 | 662500 | 785788.4 |
| 3361 | 662500 | 798778.8 |
| 3362 | 662500 | 811769.1 |
| 3363 | 662500 | 824759.5 |
| 3364 | 662500 | 837749.9 |
| 3365 | 662500 | 850740.3 |
| 3366 | 662500 | 863730.7 |
| 3367 | 662500 | 876721.1 |
| 3368 | 662500 | 889711.4 |
| 3369 | 662500 | 902701.8 |
| 3370 | 662500 | 915692.2 |
| 3371 | 662500 | 928682.6 |
| 3372 | 662500 | 941673.0 |
| 3373 | 662500 | 954663.3 |
| 3374 | 662500 | 967653.7 |
| 3375 | 662500 | 980644.1 |
| 3376 | 662500 | 993634.5 |
| 3377 | 662500 | 1006624.9 |
| 3378 | 662500 | 1019615.2 |
| 3379 | 662500 | 1032605.6 |
| 3380 | 662500 | 1045596.0 |
| 3381 | 662500 | 1058586.4 |
| 3382 | 662500 | 1071576.8 |
| 3383 | 662500 | 1084567.1 |
| 3384 | 662500 | 1097557.5 |
| 3385 | 666250 | 506495.2 |
| 3386 | 666250 | 519485.6 |
| 3387 | 666250 | 532476.0 |
| 3388 | 666250 | 545466.3 |
| 3389 | 666250 | 558456.7 |
| 3390 | 666250 | 571447.1 |
| 3391 | 666250 | 584437.5 |
| 3392 | 666250 | 597427.9 |
| 3393 | 666250 | 610418.2 |
| 3394 | 666250 | 623408.6 |
| 3395 | 666250 | 636399.0 |
| 3396 | 666250 | 649389.4 |
| 3397 | 666250 | 662379.8 |
| 3398 | 666250 | 675370.1 |
| 3399 | 666250 | 688360.5 |
| 3400 | 666250 | 701350.9 |
| 3401 | 666250 | 714341.3 |
| 3402 | 666250 | 727331.7 |
| 3403 | 666250 | 740322.0 |
| 3404 | 666250 | 753312.4 |
| 3405 | 666250 | 766302.8 |
| 3406 | 666250 | 779293.2 |
| 3407 | 666250 | 792283.6 |
| 3408 | 666250 | 805274.0 |
| 3409 | 666250 | 818264.3 |
| 3410 | 666250 | 831254.7 |
| 3411 | 666250 | 844245.1 |
| 3412 | 666250 | 857235.5 |
| 3413 | 666250 | 870225.9 |
| 3414 | 666250 | 883216.2 |
| 3415 | 666250 | 896206.6 |
| 3416 | 666250 | 909197.0 |
| 3417 | 666250 | 922187.4 |
| 3418 | 666250 | 935177.8 |
| 3419 | 666250 | 948168.1 |
| 3420 | 666250 | 961158.5 |
| 3421 | 666250 | 974148.9 |
| 3422 | 666250 | 987139.3 |
| 3423 | 666250 | 1000129.7 |
| 3424 | 666250 | 1013120.1 |
| 3425 | 666250 | 1026110.4 |
| 3426 | 666250 | 1039100.8 |
| 3427 | 666250 | 1052091.2 |
| 3428 | 666250 | 1065081.6 |
| 3429 | 666250 | 1078072.0 |
| 3430 | 666250 | 1091062.3 |
| 3431 | 666250 | 1104052.7 |
| 3432 | 670000 | 500000.0 |
| 3433 | 670000 | 512990.4 |
| 3434 | 670000 | 525980.8 |
| 3435 | 670000 | 538971.1 |
| 3436 | 670000 | 551961.5 |
| 3437 | 670000 | 564951.9 |
| 3438 | 670000 | 577942.3 |
| 3439 | 670000 | 590932.7 |
| 3440 | 670000 | 603923.0 |
| 3441 | 670000 | 616913.4 |
| 3442 | 670000 | 629903.8 |
| 3443 | 670000 | 642894.2 |
| 3444 | 670000 | 655884.6 |
| 3445 | 670000 | 668875.0 |
| 3446 | 670000 | 681865.3 |
| 3447 | 670000 | 694855.7 |
| 3448 | 670000 | 707846.1 |
| 3449 | 670000 | 720836.5 |
| 3450 | 670000 | 733826.9 |
| 3451 | 670000 | 746817.2 |
| 3452 | 670000 | 759807.6 |
| 3453 | 670000 | 772798.0 |
| 3454 | 670000 | 785788.4 |
| 3455 | 670000 | 798778.8 |
| 3456 | 670000 | 811769.1 |
| 3457 | 670000 | 824759.5 |
| 3458 | 670000 | 837749.9 |
| 3459 | 670000 | 850740.3 |
| 3460 | 670000 | 863730.7 |
| 3461 | 670000 | 876721.1 |
| 3462 | 670000 | 889711.4 |
| 3463 | 670000 | 902701.8 |
| 3464 | 670000 | 915692.2 |
| 3465 | 670000 | 928682.6 |
| 3466 | 670000 | 941673.0 |
| 3467 | 670000 | 954663.3 |
| 3468 | 670000 | 967653.7 |
| 3469 | 670000 | 980644.1 |
| 3470 | 670000 | 993634.5 |
| 3471 | 670000 | 1006624.9 |
| 3472 | 670000 | 1019615.2 |
| 3473 | 670000 | 1032605.6 |
| 3474 | 670000 | 1045596.0 |
| 3475 | 670000 | 1058586.4 |
| 3476 | 670000 | 1071576.8 |
| 3477 | 670000 | 1084567.1 |
| 3478 | 670000 | 1097557.5 |
| 3479 | 673750 | 506495.2 |
| 3480 | 673750 | 519485.6 |
| 3481 | 673750 | 532476.0 |
| 3482 | 673750 | 545466.3 |
| 3483 | 673750 | 558456.7 |
| 3484 | 673750 | 571447.1 |
| 3485 | 673750 | 584437.5 |
| 3486 | 673750 | 597427.9 |
| 3487 | 673750 | 610418.2 |
| 3488 | 673750 | 623408.6 |
| 3489 | 673750 | 636399.0 |
| 3490 | 673750 | 649389.4 |
| 3491 | 673750 | 662379.8 |
| 3492 | 673750 | 675370.1 |
| 3493 | 673750 | 688360.5 |
| 3494 | 673750 | 701350.9 |
| 3495 | 673750 | 714341.3 |
| 3496 | 673750 | 727331.7 |
| 3497 | 673750 | 740322.0 |
| 3498 | 673750 | 753312.4 |
| 3499 | 673750 | 766302.8 |
| 3500 | 673750 | 779293.2 |
| 3501 | 673750 | 792283.6 |
| 3502 | 673750 | 805274.0 |
| 3503 | 673750 | 818264.3 |
| 3504 | 673750 | 831254.7 |
| 3505 | 673750 | 844245.1 |
| 3506 | 673750 | 857235.5 |
| 3507 | 673750 | 870225.9 |
| 3508 | 673750 | 883216.2 |
| 3509 | 673750 | 896206.6 |
| 3510 | 673750 | 909197.0 |
| 3511 | 673750 | 922187.4 |
| 3512 | 673750 | 935177.8 |
| 3513 | 673750 | 948168.1 |
| 3514 | 673750 | 961158.5 |
| 3515 | 673750 | 974148.9 |
| 3516 | 673750 | 987139.3 |
| 3517 | 673750 | 1000129.7 |
| 3518 | 673750 | 1013120.1 |
| 3519 | 673750 | 1026110.4 |
| 3520 | 673750 | 1039100.8 |
| 3521 | 673750 | 1052091.2 |
| 3522 | 673750 | 1065081.6 |
| 3523 | 673750 | 1078072.0 |
| 3524 | 673750 | 1091062.3 |
| 3525 | 673750 | 1104052.7 |
| 3526 | 677500 | 500000.0 |
| 3527 | 677500 | 512990.4 |
| 3528 | 677500 | 525980.8 |
| 3529 | 677500 | 538971.1 |
| 3530 | 677500 | 551961.5 |
| 3531 | 677500 | 564951.9 |
| 3532 | 677500 | 577942.3 |
| 3533 | 677500 | 590932.7 |
| 3534 | 677500 | 603923.0 |
| 3535 | 677500 | 616913.4 |
| 3536 | 677500 | 629903.8 |
| 3537 | 677500 | 642894.2 |
| 3538 | 677500 | 655884.6 |
| 3539 | 677500 | 668875.0 |
| 3540 | 677500 | 681865.3 |
| 3541 | 677500 | 694855.7 |
| 3542 | 677500 | 707846.1 |
| 3543 | 677500 | 720836.5 |
| 3544 | 677500 | 733826.9 |
| 3545 | 677500 | 746817.2 |
| 3546 | 677500 | 759807.6 |
| 3547 | 677500 | 772798.0 |
| 3548 | 677500 | 785788.4 |
| 3549 | 677500 | 798778.8 |
| 3550 | 677500 | 811769.1 |
| 3551 | 677500 | 824759.5 |
| 3552 | 677500 | 837749.9 |
| 3553 | 677500 | 850740.3 |
| 3554 | 677500 | 863730.7 |
| 3555 | 677500 | 876721.1 |
| 3556 | 677500 | 889711.4 |
| 3557 | 677500 | 902701.8 |
| 3558 | 677500 | 915692.2 |
| 3559 | 677500 | 928682.6 |
| 3560 | 677500 | 941673.0 |
| 3561 | 677500 | 954663.3 |
| 3562 | 677500 | 967653.7 |
| 3563 | 677500 | 980644.1 |
| 3564 | 677500 | 993634.5 |
| 3565 | 677500 | 1006624.9 |
| 3566 | 677500 | 1019615.2 |
| 3567 | 677500 | 1032605.6 |
| 3568 | 677500 | 1045596.0 |
| 3569 | 677500 | 1058586.4 |
| 3570 | 677500 | 1071576.8 |
| 3571 | 677500 | 1084567.1 |
| 3572 | 677500 | 1097557.5 |
| 3573 | 681250 | 506495.2 |
| 3574 | 681250 | 519485.6 |
| 3575 | 681250 | 532476.0 |
| 3576 | 681250 | 545466.3 |
| 3577 | 681250 | 558456.7 |
| 3578 | 681250 | 571447.1 |
| 3579 | 681250 | 584437.5 |
| 3580 | 681250 | 597427.9 |
| 3581 | 681250 | 610418.2 |
| 3582 | 681250 | 623408.6 |
| 3583 | 681250 | 636399.0 |
| 3584 | 681250 | 649389.4 |
| 3585 | 681250 | 662379.8 |
| 3586 | 681250 | 675370.1 |
| 3587 | 681250 | 688360.5 |
| 3588 | 681250 | 701350.9 |
| 3589 | 681250 | 714341.3 |
| 3590 | 681250 | 727331.7 |
| 3591 | 681250 | 740322.0 |
| 3592 | 681250 | 753312.4 |
| 3593 | 681250 | 766302.8 |
| 3594 | 681250 | 779293.2 |
| 3595 | 681250 | 792283.6 |
| 3596 | 681250 | 805274.0 |
| 3597 | 681250 | 818264.3 |
| 3598 | 681250 | 831254.7 |
| 3599 | 681250 | 844245.1 |
| 3600 | 681250 | 857235.5 |
| 3601 | 681250 | 870225.9 |
| 3602 | 681250 | 883216.2 |
| 3603 | 681250 | 896206.6 |
| 3604 | 681250 | 909197.0 |
| 3605 | 681250 | 922187.4 |
| 3606 | 681250 | 935177.8 |
| 3607 | 681250 | 948168.1 |
| 3608 | 681250 | 961158.5 |
| 3609 | 681250 | 974148.9 |
| 3610 | 681250 | 987139.3 |
| 3611 | 681250 | 1000129.7 |
| 3612 | 681250 | 1013120.1 |
| 3613 | 681250 | 1026110.4 |
| 3614 | 681250 | 1039100.8 |
| 3615 | 681250 | 1052091.2 |
| 3616 | 681250 | 1065081.6 |
| 3617 | 681250 | 1078072.0 |
| 3618 | 681250 | 1091062.3 |
| 3619 | 681250 | 1104052.7 |
| 3620 | 685000 | 500000.0 |
| 3621 | 685000 | 512990.4 |
| 3622 | 685000 | 525980.8 |
| 3623 | 685000 | 538971.1 |
| 3624 | 685000 | 551961.5 |
| 3625 | 685000 | 564951.9 |
| 3626 | 685000 | 577942.3 |
| 3627 | 685000 | 590932.7 |
| 3628 | 685000 | 603923.0 |
| 3629 | 685000 | 616913.4 |
| 3630 | 685000 | 629903.8 |
| 3631 | 685000 | 642894.2 |
| 3632 | 685000 | 655884.6 |
| 3633 | 685000 | 668875.0 |
| 3634 | 685000 | 681865.3 |
| 3635 | 685000 | 694855.7 |
| 3636 | 685000 | 707846.1 |
| 3637 | 685000 | 720836.5 |
| 3638 | 685000 | 733826.9 |
| 3639 | 685000 | 746817.2 |
| 3640 | 685000 | 759807.6 |
| 3641 | 685000 | 772798.0 |
| 3642 | 685000 | 785788.4 |
| 3643 | 685000 | 798778.8 |
| 3644 | 685000 | 811769.1 |
| 3645 | 685000 | 824759.5 |
| 3646 | 685000 | 837749.9 |
| 3647 | 685000 | 850740.3 |
| 3648 | 685000 | 863730.7 |
| 3649 | 685000 | 876721.1 |
| 3650 | 685000 | 889711.4 |
| 3651 | 685000 | 902701.8 |
| 3652 | 685000 | 915692.2 |
| 3653 | 685000 | 928682.6 |
| 3654 | 685000 | 941673.0 |
| 3655 | 685000 | 954663.3 |
| 3656 | 685000 | 967653.7 |
| 3657 | 685000 | 980644.1 |
| 3658 | 685000 | 993634.5 |
| 3659 | 685000 | 1006624.9 |
| 3660 | 685000 | 1019615.2 |
| 3661 | 685000 | 1032605.6 |
| 3662 | 685000 | 1045596.0 |
| 3663 | 685000 | 1058586.4 |
| 3664 | 685000 | 1071576.8 |
| 3665 | 685000 | 1084567.1 |
| 3666 | 685000 | 1097557.5 |
| 3667 | 688750 | 506495.2 |
| 3668 | 688750 | 519485.6 |
| 3669 | 688750 | 532476.0 |
| 3670 | 688750 | 545466.3 |
| 3671 | 688750 | 558456.7 |
| 3672 | 688750 | 571447.1 |
| 3673 | 688750 | 584437.5 |
| 3674 | 688750 | 597427.9 |
| 3675 | 688750 | 610418.2 |
| 3676 | 688750 | 623408.6 |
| 3677 | 688750 | 636399.0 |
| 3678 | 688750 | 649389.4 |
| 3679 | 688750 | 662379.8 |
| 3680 | 688750 | 675370.1 |
| 3681 | 688750 | 688360.5 |
| 3682 | 688750 | 701350.9 |
| 3683 | 688750 | 714341.3 |
| 3684 | 688750 | 727331.7 |
| 3685 | 688750 | 740322.0 |
| 3686 | 688750 | 753312.4 |
| 3687 | 688750 | 766302.8 |
| 3688 | 688750 | 779293.2 |
| 3689 | 688750 | 792283.6 |
| 3690 | 688750 | 805274.0 |
| 3691 | 688750 | 818264.3 |
| 3692 | 688750 | 831254.7 |
| 3693 | 688750 | 844245.1 |
| 3694 | 688750 | 857235.5 |
| 3695 | 688750 | 870225.9 |
| 3696 | 688750 | 883216.2 |
| 3697 | 688750 | 896206.6 |
| 3698 | 688750 | 909197.0 |
| 3699 | 688750 | 922187.4 |
| 3700 | 688750 | 935177.8 |
| 3701 | 688750 | 948168.1 |
| 3702 | 688750 | 961158.5 |
| 3703 | 688750 | 974148.9 |
| 3704 | 688750 | 987139.3 |
| 3705 | 688750 | 1000129.7 |
| 3706 | 688750 | 1013120.1 |
| 3707 | 688750 | 1026110.4 |
| 3708 | 688750 | 1039100.8 |
| 3709 | 688750 | 1052091.2 |
| 3710 | 688750 | 1065081.6 |
| 3711 | 688750 | 1078072.0 |
| 3712 | 688750 | 1091062.3 |
| 3713 | 688750 | 1104052.7 |
| 3714 | 692500 | 500000.0 |
| 3715 | 692500 | 512990.4 |
| 3716 | 692500 | 525980.8 |
| 3717 | 692500 | 538971.1 |
| 3718 | 692500 | 551961.5 |
| 3719 | 692500 | 564951.9 |
| 3720 | 692500 | 577942.3 |
| 3721 | 692500 | 590932.7 |
| 3722 | 692500 | 603923.0 |
| 3723 | 692500 | 616913.4 |
| 3724 | 692500 | 629903.8 |
| 3725 | 692500 | 642894.2 |
| 3726 | 692500 | 655884.6 |
| 3727 | 692500 | 668875.0 |
| 3728 | 692500 | 681865.3 |
| 3729 | 692500 | 694855.7 |
| 3730 | 692500 | 707846.1 |
| 3731 | 692500 | 720836.5 |
| 3732 | 692500 | 733826.9 |
| 3733 | 692500 | 746817.2 |
| 3734 | 692500 | 759807.6 |
| 3735 | 692500 | 772798.0 |
| 3736 | 692500 | 785788.4 |
| 3737 | 692500 | 798778.8 |
| 3738 | 692500 | 811769.1 |
| 3739 | 692500 | 824759.5 |
| 3740 | 692500 | 837749.9 |
| 3741 | 692500 | 850740.3 |
| 3742 | 692500 | 863730.7 |
| 3743 | 692500 | 876721.1 |
| 3744 | 692500 | 889711.4 |
| 3745 | 692500 | 902701.8 |
| 3746 | 692500 | 915692.2 |
| 3747 | 692500 | 928682.6 |
| 3748 | 692500 | 941673.0 |
| 3749 | 692500 | 954663.3 |
| 3750 | 692500 | 967653.7 |
| 3751 | 692500 | 980644.1 |
| 3752 | 692500 | 993634.5 |
| 3753 | 692500 | 1006624.9 |
| 3754 | 692500 | 1019615.2 |
| 3755 | 692500 | 1032605.6 |
| 3756 | 692500 | 1045596.0 |
| 3757 | 692500 | 1058586.4 |
| 3758 | 692500 | 1071576.8 |
| 3759 | 692500 | 1084567.1 |
| 3760 | 692500 | 1097557.5 |
| 3761 | 696250 | 506495.2 |
| 3762 | 696250 | 519485.6 |
| 3763 | 696250 | 532476.0 |
| 3764 | 696250 | 545466.3 |
| 3765 | 696250 | 558456.7 |
| 3766 | 696250 | 571447.1 |
| 3767 | 696250 | 584437.5 |
| 3768 | 696250 | 597427.9 |
| 3769 | 696250 | 610418.2 |
| 3770 | 696250 | 623408.6 |
| 3771 | 696250 | 636399.0 |
| 3772 | 696250 | 649389.4 |
| 3773 | 696250 | 662379.8 |
| 3774 | 696250 | 675370.1 |
| 3775 | 696250 | 688360.5 |
| 3776 | 696250 | 701350.9 |
| 3777 | 696250 | 714341.3 |
| 3778 | 696250 | 727331.7 |
| 3779 | 696250 | 740322.0 |
| 3780 | 696250 | 753312.4 |
| 3781 | 696250 | 766302.8 |
| 3782 | 696250 | 779293.2 |
| 3783 | 696250 | 792283.6 |
| 3784 | 696250 | 805274.0 |
| 3785 | 696250 | 818264.3 |
| 3786 | 696250 | 831254.7 |
| 3787 | 696250 | 844245.1 |
| 3788 | 696250 | 857235.5 |
| 3789 | 696250 | 870225.9 |
| 3790 | 696250 | 883216.2 |
| 3791 | 696250 | 896206.6 |
| 3792 | 696250 | 909197.0 |
| 3793 | 696250 | 922187.4 |
| 3794 | 696250 | 935177.8 |
| 3795 | 696250 | 948168.1 |
| 3796 | 696250 | 961158.5 |
| 3797 | 696250 | 974148.9 |
| 3798 | 696250 | 987139.3 |
| 3799 | 696250 | 1000129.7 |
| 3800 | 696250 | 1013120.1 |
| 3801 | 696250 | 1026110.4 |
| 3802 | 696250 | 1039100.8 |
| 3803 | 696250 | 1052091.2 |
| 3804 | 696250 | 1065081.6 |
| 3805 | 696250 | 1078072.0 |
| 3806 | 696250 | 1091062.3 |
| 3807 | 696250 | 1104052.7 |
| 3808 | 700000 | 500000.0 |
| 3809 | 700000 | 512990.4 |
| 3810 | 700000 | 525980.8 |
| 3811 | 700000 | 538971.1 |
| 3812 | 700000 | 551961.5 |
| 3813 | 700000 | 564951.9 |
| 3814 | 700000 | 577942.3 |
| 3815 | 700000 | 590932.7 |
| 3816 | 700000 | 603923.0 |
| 3817 | 700000 | 616913.4 |
| 3818 | 700000 | 629903.8 |
| 3819 | 700000 | 642894.2 |
| 3820 | 700000 | 655884.6 |
| 3821 | 700000 | 668875.0 |
| 3822 | 700000 | 681865.3 |
| 3823 | 700000 | 694855.7 |
| 3824 | 700000 | 707846.1 |
| 3825 | 700000 | 720836.5 |
| 3826 | 700000 | 733826.9 |
| 3827 | 700000 | 746817.2 |
| 3828 | 700000 | 759807.6 |
| 3829 | 700000 | 772798.0 |
| 3830 | 700000 | 785788.4 |
| 3831 | 700000 | 798778.8 |
| 3832 | 700000 | 811769.1 |
| 3833 | 700000 | 824759.5 |
| 3834 | 700000 | 837749.9 |
| 3835 | 700000 | 850740.3 |
| 3836 | 700000 | 863730.7 |
| 3837 | 700000 | 876721.1 |
| 3838 | 700000 | 889711.4 |
| 3839 | 700000 | 902701.8 |
| 3840 | 700000 | 915692.2 |
| 3841 | 700000 | 928682.6 |
| 3842 | 700000 | 941673.0 |
| 3843 | 700000 | 954663.3 |
| 3844 | 700000 | 967653.7 |
| 3845 | 700000 | 980644.1 |
| 3846 | 700000 | 993634.5 |
| 3847 | 700000 | 1006624.9 |
| 3848 | 700000 | 1019615.2 |
| 3849 | 700000 | 1032605.6 |
| 3850 | 700000 | 1045596.0 |
| 3851 | 700000 | 1058586.4 |
| 3852 | 700000 | 1071576.8 |
| 3853 | 700000 | 1084567.1 |
| 3854 | 700000 | 1097557.5 |
| 3855 | 703750 | 506495.2 |
| 3856 | 703750 | 519485.6 |
| 3857 | 703750 | 532476.0 |
| 3858 | 703750 | 545466.3 |
| 3859 | 703750 | 558456.7 |
| 3860 | 703750 | 571447.1 |
| 3861 | 703750 | 584437.5 |
| 3862 | 703750 | 597427.9 |
| 3863 | 703750 | 610418.2 |
| 3864 | 703750 | 623408.6 |
| 3865 | 703750 | 636399.0 |
| 3866 | 703750 | 649389.4 |
| 3867 | 703750 | 662379.8 |
| 3868 | 703750 | 675370.1 |
| 3869 | 703750 | 688360.5 |
| 3870 | 703750 | 701350.9 |
| 3871 | 703750 | 714341.3 |
| 3872 | 703750 | 727331.7 |
| 3873 | 703750 | 740322.0 |
| 3874 | 703750 | 753312.4 |
| 3875 | 703750 | 766302.8 |
| 3876 | 703750 | 779293.2 |
| 3877 | 703750 | 792283.6 |
| 3878 | 703750 | 805274.0 |
| 3879 | 703750 | 818264.3 |
| 3880 | 703750 | 831254.7 |
| 3881 | 703750 | 844245.1 |
| 3882 | 703750 | 857235.5 |
| 3883 | 703750 | 870225.9 |
| 3884 | 703750 | 883216.2 |
| 3885 | 703750 | 896206.6 |
| 3886 | 703750 | 909197.0 |
| 3887 | 703750 | 922187.4 |
| 3888 | 703750 | 935177.8 |
| 3889 | 703750 | 948168.1 |
| 3890 | 703750 | 961158.5 |
| 3891 | 703750 | 974148.9 |
| 3892 | 703750 | 987139.3 |
| 3893 | 703750 | 1000129.7 |
| 3894 | 703750 | 1013120.1 |
| 3895 | 703750 | 1026110.4 |
| 3896 | 703750 | 1039100.8 |
| 3897 | 703750 | 1052091.2 |
| 3898 | 703750 | 1065081.6 |
| 3899 | 703750 | 1078072.0 |
| 3900 | 703750 | 1091062.3 |
| 3901 | 703750 | 1104052.7 |
| 3902 | 707500 | 500000.0 |
| 3903 | 707500 | 512990.4 |
| 3904 | 707500 | 525980.8 |
| 3905 | 707500 | 538971.1 |
| 3906 | 707500 | 551961.5 |
| 3907 | 707500 | 564951.9 |
| 3908 | 707500 | 577942.3 |
| 3909 | 707500 | 590932.7 |
| 3910 | 707500 | 603923.0 |
| 3911 | 707500 | 616913.4 |
| 3912 | 707500 | 629903.8 |
| 3913 | 707500 | 642894.2 |
| 3914 | 707500 | 655884.6 |
| 3915 | 707500 | 668875.0 |
| 3916 | 707500 | 681865.3 |
| 3917 | 707500 | 694855.7 |
| 3918 | 707500 | 707846.1 |
| 3919 | 707500 | 720836.5 |
| 3920 | 707500 | 733826.9 |
| 3921 | 707500 | 746817.2 |
| 3922 | 707500 | 759807.6 |
| 3923 | 707500 | 772798.0 |
| 3924 | 707500 | 785788.4 |
| 3925 | 707500 | 798778.8 |
| 3926 | 707500 | 811769.1 |
| 3927 | 707500 | 824759.5 |
| 3928 | 707500 | 837749.9 |
| 3929 | 707500 | 850740.3 |
| 3930 | 707500 | 863730.7 |
| 3931 | 707500 | 876721.1 |
| 3932 | 707500 | 889711.4 |
| 3933 | 707500 | 902701.8 |
| 3934 | 707500 | 915692.2 |
| 3935 | 707500 | 928682.6 |
| 3936 | 707500 | 941673.0 |
| 3937 | 707500 | 954663.3 |
| 3938 | 707500 | 967653.7 |
| 3939 | 707500 | 980644.1 |
| 3940 | 707500 | 993634.5 |
| 3941 | 707500 | 1006624.9 |
| 3942 | 707500 | 1019615.2 |
| 3943 | 707500 | 1032605.6 |
| 3944 | 707500 | 1045596.0 |
| 3945 | 707500 | 1058586.4 |
| 3946 | 707500 | 1071576.8 |
| 3947 | 707500 | 1084567.1 |
| 3948 | 707500 | 1097557.5 |
| 3949 | 711250 | 506495.2 |
| 3950 | 711250 | 519485.6 |
| 3951 | 711250 | 532476.0 |
| 3952 | 711250 | 545466.3 |
| 3953 | 711250 | 558456.7 |
| 3954 | 711250 | 571447.1 |
| 3955 | 711250 | 584437.5 |
| 3956 | 711250 | 597427.9 |
| 3957 | 711250 | 610418.2 |
| 3958 | 711250 | 623408.6 |
| 3959 | 711250 | 636399.0 |
| 3960 | 711250 | 649389.4 |
| 3961 | 711250 | 662379.8 |
| 3962 | 711250 | 675370.1 |
| 3963 | 711250 | 688360.5 |
| 3964 | 711250 | 701350.9 |
| 3965 | 711250 | 714341.3 |
| 3966 | 711250 | 727331.7 |
| 3967 | 711250 | 740322.0 |
| 3968 | 711250 | 753312.4 |
| 3969 | 711250 | 766302.8 |
| 3970 | 711250 | 779293.2 |
| 3971 | 711250 | 792283.6 |
| 3972 | 711250 | 805274.0 |
| 3973 | 711250 | 818264.3 |
| 3974 | 711250 | 831254.7 |
| 3975 | 711250 | 844245.1 |
| 3976 | 711250 | 857235.5 |
| 3977 | 711250 | 870225.9 |
| 3978 | 711250 | 883216.2 |
| 3979 | 711250 | 896206.6 |
| 3980 | 711250 | 909197.0 |
| 3981 | 711250 | 922187.4 |
| 3982 | 711250 | 935177.8 |
| 3983 | 711250 | 948168.1 |
| 3984 | 711250 | 961158.5 |
| 3985 | 711250 | 974148.9 |
| 3986 | 711250 | 987139.3 |
| 3987 | 711250 | 1000129.7 |
| 3988 | 711250 | 1013120.1 |
| 3989 | 711250 | 1026110.4 |
| 3990 | 711250 | 1039100.8 |
| 3991 | 711250 | 1052091.2 |
| 3992 | 711250 | 1065081.6 |
| 3993 | 711250 | 1078072.0 |
| 3994 | 711250 | 1091062.3 |
| 3995 | 711250 | 1104052.7 |
| 3996 | 715000 | 500000.0 |
| 3997 | 715000 | 512990.4 |
| 3998 | 715000 | 525980.8 |
| 3999 | 715000 | 538971.1 |
| 4000 | 715000 | 551961.5 |
| 4001 | 715000 | 564951.9 |
| 4002 | 715000 | 577942.3 |
| 4003 | 715000 | 590932.7 |
| 4004 | 715000 | 603923.0 |
| 4005 | 715000 | 616913.4 |
| 4006 | 715000 | 629903.8 |
| 4007 | 715000 | 642894.2 |
| 4008 | 715000 | 655884.6 |
| 4009 | 715000 | 668875.0 |
| 4010 | 715000 | 681865.3 |
| 4011 | 715000 | 694855.7 |
| 4012 | 715000 | 707846.1 |
| 4013 | 715000 | 720836.5 |
| 4014 | 715000 | 733826.9 |
| 4015 | 715000 | 746817.2 |
| 4016 | 715000 | 759807.6 |
| 4017 | 715000 | 772798.0 |
| 4018 | 715000 | 785788.4 |
| 4019 | 715000 | 798778.8 |
| 4020 | 715000 | 811769.1 |
| 4021 | 715000 | 824759.5 |
| 4022 | 715000 | 837749.9 |
| 4023 | 715000 | 850740.3 |
| 4024 | 715000 | 863730.7 |
| 4025 | 715000 | 876721.1 |
| 4026 | 715000 | 889711.4 |
| 4027 | 715000 | 902701.8 |
| 4028 | 715000 | 915692.2 |
| 4029 | 715000 | 928682.6 |
| 4030 | 715000 | 941673.0 |
| 4031 | 715000 | 954663.3 |
| 4032 | 715000 | 967653.7 |
| 4033 | 715000 | 980644.1 |
| 4034 | 715000 | 993634.5 |
| 4035 | 715000 | 1006624.9 |
| 4036 | 715000 | 1019615.2 |
| 4037 | 715000 | 1032605.6 |
| 4038 | 715000 | 1045596.0 |
| 4039 | 715000 | 1058586.4 |
| 4040 | 715000 | 1071576.8 |
| 4041 | 715000 | 1084567.1 |
| 4042 | 715000 | 1097557.5 |
| 4043 | 718750 | 506495.2 |
| 4044 | 718750 | 519485.6 |
| 4045 | 718750 | 532476.0 |
| 4046 | 718750 | 545466.3 |
| 4047 | 718750 | 558456.7 |
| 4048 | 718750 | 571447.1 |
| 4049 | 718750 | 584437.5 |
| 4050 | 718750 | 597427.9 |
| 4051 | 718750 | 610418.2 |
| 4052 | 718750 | 623408.6 |
| 4053 | 718750 | 636399.0 |
| 4054 | 718750 | 649389.4 |
| 4055 | 718750 | 662379.8 |
| 4056 | 718750 | 675370.1 |
| 4057 | 718750 | 688360.5 |
| 4058 | 718750 | 701350.9 |
| 4059 | 718750 | 714341.3 |
| 4060 | 718750 | 727331.7 |
| 4061 | 718750 | 740322.0 |
| 4062 | 718750 | 753312.4 |
| 4063 | 718750 | 766302.8 |
| 4064 | 718750 | 779293.2 |
| 4065 | 718750 | 792283.6 |
| 4066 | 718750 | 805274.0 |
| 4067 | 718750 | 818264.3 |
| 4068 | 718750 | 831254.7 |
| 4069 | 718750 | 844245.1 |
| 4070 | 718750 | 857235.5 |
| 4071 | 718750 | 870225.9 |
| 4072 | 718750 | 883216.2 |
| 4073 | 718750 | 896206.6 |
| 4074 | 718750 | 909197.0 |
| 4075 | 718750 | 922187.4 |
| 4076 | 718750 | 935177.8 |
| 4077 | 718750 | 948168.1 |
| 4078 | 718750 | 961158.5 |
| 4079 | 718750 | 974148.9 |
| 4080 | 718750 | 987139.3 |
| 4081 | 718750 | 1000129.7 |
| 4082 | 718750 | 1013120.1 |
| 4083 | 718750 | 1026110.4 |
| 4084 | 718750 | 1039100.8 |
| 4085 | 718750 | 1052091.2 |
| 4086 | 718750 | 1065081.6 |
| 4087 | 718750 | 1078072.0 |
| 4088 | 718750 | 1091062.3 |
| 4089 | 718750 | 1104052.7 |
| 4090 | 722500 | 500000.0 |
| 4091 | 722500 | 512990.4 |
| 4092 | 722500 | 525980.8 |
| 4093 | 722500 | 538971.1 |
| 4094 | 722500 | 551961.5 |
| 4095 | 722500 | 564951.9 |
| 4096 | 722500 | 577942.3 |
| 4097 | 722500 | 590932.7 |
| 4098 | 722500 | 603923.0 |
| 4099 | 722500 | 616913.4 |
| 4100 | 722500 | 629903.8 |
| 4101 | 722500 | 642894.2 |
| 4102 | 722500 | 655884.6 |
| 4103 | 722500 | 668875.0 |
| 4104 | 722500 | 681865.3 |
| 4105 | 722500 | 694855.7 |
| 4106 | 722500 | 707846.1 |
| 4107 | 722500 | 720836.5 |
| 4108 | 722500 | 733826.9 |
| 4109 | 722500 | 746817.2 |
| 4110 | 722500 | 759807.6 |
| 4111 | 722500 | 772798.0 |
| 4112 | 722500 | 785788.4 |
| 4113 | 722500 | 798778.8 |
| 4114 | 722500 | 811769.1 |
| 4115 | 722500 | 824759.5 |
| 4116 | 722500 | 837749.9 |
| 4117 | 722500 | 850740.3 |
| 4118 | 722500 | 863730.7 |
| 4119 | 722500 | 876721.1 |
| 4120 | 722500 | 889711.4 |
| 4121 | 722500 | 902701.8 |
| 4122 | 722500 | 915692.2 |
| 4123 | 722500 | 928682.6 |
| 4124 | 722500 | 941673.0 |
| 4125 | 722500 | 954663.3 |
| 4126 | 722500 | 967653.7 |
| 4127 | 722500 | 980644.1 |
| 4128 | 722500 | 993634.5 |
| 4129 | 722500 | 1006624.9 |
| 4130 | 722500 | 1019615.2 |
| 4131 | 722500 | 1032605.6 |
| 4132 | 722500 | 1045596.0 |
| 4133 | 722500 | 1058586.4 |
| 4134 | 722500 | 1071576.8 |
| 4135 | 722500 | 1084567.1 |
| 4136 | 722500 | 1097557.5 |
| 4137 | 726250 | 506495.2 |
| 4138 | 726250 | 519485.6 |
| 4139 | 726250 | 532476.0 |
| 4140 | 726250 | 545466.3 |
| 4141 | 726250 | 558456.7 |
| 4142 | 726250 | 571447.1 |
| 4143 | 726250 | 584437.5 |
| 4144 | 726250 | 597427.9 |
| 4145 | 726250 | 610418.2 |
| 4146 | 726250 | 623408.6 |
| 4147 | 726250 | 636399.0 |
| 4148 | 726250 | 649389.4 |
| 4149 | 726250 | 662379.8 |
| 4150 | 726250 | 675370.1 |
| 4151 | 726250 | 688360.5 |
| 4152 | 726250 | 701350.9 |
| 4153 | 726250 | 714341.3 |
| 4154 | 726250 | 727331.7 |
| 4155 | 726250 | 740322.0 |
| 4156 | 726250 | 753312.4 |
| 4157 | 726250 | 766302.8 |
| 4158 | 726250 | 779293.2 |
| 4159 | 726250 | 792283.6 |
| 4160 | 726250 | 805274.0 |
| 4161 | 726250 | 818264.3 |
| 4162 | 726250 | 831254.7 |
| 4163 | 726250 | 844245.1 |
| 4164 | 726250 | 857235.5 |
| 4165 | 726250 | 870225.9 |
| 4166 | 726250 | 883216.2 |
| 4167 | 726250 | 896206.6 |
| 4168 | 726250 | 909197.0 |
| 4169 | 726250 | 922187.4 |
| 4170 | 726250 | 935177.8 |
| 4171 | 726250 | 948168.1 |
| 4172 | 726250 | 961158.5 |
| 4173 | 726250 | 974148.9 |
| 4174 | 726250 | 987139.3 |
| 4175 | 726250 | 1000129.7 |
| 4176 | 726250 | 1013120.1 |
| 4177 | 726250 | 1026110.4 |
| 4178 | 726250 | 1039100.8 |
| 4179 | 726250 | 1052091.2 |
| 4180 | 726250 | 1065081.6 |
| 4181 | 726250 | 1078072.0 |
| 4182 | 726250 | 1091062.3 |
| 4183 | 726250 | 1104052.7 |
| 4184 | 730000 | 500000.0 |
| 4185 | 730000 | 512990.4 |
| 4186 | 730000 | 525980.8 |
| 4187 | 730000 | 538971.1 |
| 4188 | 730000 | 551961.5 |
| 4189 | 730000 | 564951.9 |
| 4190 | 730000 | 577942.3 |
| 4191 | 730000 | 590932.7 |
| 4192 | 730000 | 603923.0 |
| 4193 | 730000 | 616913.4 |
| 4194 | 730000 | 629903.8 |
| 4195 | 730000 | 642894.2 |
| 4196 | 730000 | 655884.6 |
| 4197 | 730000 | 668875.0 |
| 4198 | 730000 | 681865.3 |
| 4199 | 730000 | 694855.7 |
| 4200 | 730000 | 707846.1 |
| 4201 | 730000 | 720836.5 |
| 4202 | 730000 | 733826.9 |
| 4203 | 730000 | 746817.2 |
| 4204 | 730000 | 759807.6 |
| 4205 | 730000 | 772798.0 |
| 4206 | 730000 | 785788.4 |
| 4207 | 730000 | 798778.8 |
| 4208 | 730000 | 811769.1 |
| 4209 | 730000 | 824759.5 |
| 4210 | 730000 | 837749.9 |
| 4211 | 730000 | 850740.3 |
| 4212 | 730000 | 863730.7 |
| 4213 | 730000 | 876721.1 |
| 4214 | 730000 | 889711.4 |
| 4215 | 730000 | 902701.8 |
| 4216 | 730000 | 915692.2 |
| 4217 | 730000 | 928682.6 |
| 4218 | 730000 | 941673.0 |
| 4219 | 730000 | 954663.3 |
| 4220 | 730000 | 967653.7 |
| 4221 | 730000 | 980644.1 |
| 4222 | 730000 | 993634.5 |
| 4223 | 730000 | 1006624.9 |
| 4224 | 730000 | 1019615.2 |
| 4225 | 730000 | 1032605.6 |
| 4226 | 730000 | 1045596.0 |
| 4227 | 730000 | 1058586.4 |
| 4228 | 730000 | 1071576.8 |
| 4229 | 730000 | 1084567.1 |
| 4230 | 730000 | 1097557.5 |
| 4231 | 733750 | 506495.2 |
| 4232 | 733750 | 519485.6 |
| 4233 | 733750 | 532476.0 |
| 4234 | 733750 | 545466.3 |
| 4235 | 733750 | 558456.7 |
| 4236 | 733750 | 571447.1 |
| 4237 | 733750 | 584437.5 |
| 4238 | 733750 | 597427.9 |
| 4239 | 733750 | 610418.2 |
| 4240 | 733750 | 623408.6 |
| 4241 | 733750 | 636399.0 |
| 4242 | 733750 | 649389.4 |
| 4243 | 733750 | 662379.8 |
| 4244 | 733750 | 675370.1 |
| 4245 | 733750 | 688360.5 |
| 4246 | 733750 | 701350.9 |
| 4247 | 733750 | 714341.3 |
| 4248 | 733750 | 727331.7 |
| 4249 | 733750 | 740322.0 |
| 4250 | 733750 | 753312.4 |
| 4251 | 733750 | 766302.8 |
| 4252 | 733750 | 779293.2 |
| 4253 | 733750 | 792283.6 |
| 4254 | 733750 | 805274.0 |
| 4255 | 733750 | 818264.3 |
| 4256 | 733750 | 831254.7 |
| 4257 | 733750 | 844245.1 |
| 4258 | 733750 | 857235.5 |
| 4259 | 733750 | 870225.9 |
| 4260 | 733750 | 883216.2 |
| 4261 | 733750 | 896206.6 |
| 4262 | 733750 | 909197.0 |
| 4263 | 733750 | 922187.4 |
| 4264 | 733750 | 935177.8 |
| 4265 | 733750 | 948168.1 |
| 4266 | 733750 | 961158.5 |
| 4267 | 733750 | 974148.9 |
| 4268 | 733750 | 987139.3 |
| 4269 | 733750 | 1000129.7 |
| 4270 | 733750 | 1013120.1 |
| 4271 | 733750 | 1026110.4 |
| 4272 | 733750 | 1039100.8 |
| 4273 | 733750 | 1052091.2 |
| 4274 | 733750 | 1065081.6 |
| 4275 | 733750 | 1078072.0 |
| 4276 | 733750 | 1091062.3 |
| 4277 | 733750 | 1104052.7 |
| 4278 | 737500 | 500000.0 |
| 4279 | 737500 | 512990.4 |
| 4280 | 737500 | 525980.8 |
| 4281 | 737500 | 538971.1 |
| 4282 | 737500 | 551961.5 |
| 4283 | 737500 | 564951.9 |
| 4284 | 737500 | 577942.3 |
| 4285 | 737500 | 590932.7 |
| 4286 | 737500 | 603923.0 |
| 4287 | 737500 | 616913.4 |
| 4288 | 737500 | 629903.8 |
| 4289 | 737500 | 642894.2 |
| 4290 | 737500 | 655884.6 |
| 4291 | 737500 | 668875.0 |
| 4292 | 737500 | 681865.3 |
| 4293 | 737500 | 694855.7 |
| 4294 | 737500 | 707846.1 |
| 4295 | 737500 | 720836.5 |
| 4296 | 737500 | 733826.9 |
| 4297 | 737500 | 746817.2 |
| 4298 | 737500 | 759807.6 |
| 4299 | 737500 | 772798.0 |
| 4300 | 737500 | 785788.4 |
| 4301 | 737500 | 798778.8 |
| 4302 | 737500 | 811769.1 |
| 4303 | 737500 | 824759.5 |
| 4304 | 737500 | 837749.9 |
| 4305 | 737500 | 850740.3 |
| 4306 | 737500 | 863730.7 |
| 4307 | 737500 | 876721.1 |
| 4308 | 737500 | 889711.4 |
| 4309 | 737500 | 902701.8 |
| 4310 | 737500 | 915692.2 |
| 4311 | 737500 | 928682.6 |
| 4312 | 737500 | 941673.0 |
| 4313 | 737500 | 954663.3 |
| 4314 | 737500 | 967653.7 |
| 4315 | 737500 | 980644.1 |
| 4316 | 737500 | 993634.5 |
| 4317 | 737500 | 1006624.9 |
| 4318 | 737500 | 1019615.2 |
| 4319 | 737500 | 1032605.6 |
| 4320 | 737500 | 1045596.0 |
| 4321 | 737500 | 1058586.4 |
| 4322 | 737500 | 1071576.8 |
| 4323 | 737500 | 1084567.1 |
| 4324 | 737500 | 1097557.5 |
| 4325 | 741250 | 506495.2 |
| 4326 | 741250 | 519485.6 |
| 4327 | 741250 | 532476.0 |
| 4328 | 741250 | 545466.3 |
| 4329 | 741250 | 558456.7 |
| 4330 | 741250 | 571447.1 |
| 4331 | 741250 | 584437.5 |
| 4332 | 741250 | 597427.9 |
| 4333 | 741250 | 610418.2 |
| 4334 | 741250 | 623408.6 |
| 4335 | 741250 | 636399.0 |
| 4336 | 741250 | 649389.4 |
| 4337 | 741250 | 662379.8 |
| 4338 | 741250 | 675370.1 |
| 4339 | 741250 | 688360.5 |
| 4340 | 741250 | 701350.9 |
| 4341 | 741250 | 714341.3 |
| 4342 | 741250 | 727331.7 |
| 4343 | 741250 | 740322.0 |
| 4344 | 741250 | 753312.4 |
| 4345 | 741250 | 766302.8 |
| 4346 | 741250 | 779293.2 |
| 4347 | 741250 | 792283.6 |
| 4348 | 741250 | 805274.0 |
| 4349 | 741250 | 818264.3 |
| 4350 | 741250 | 831254.7 |
| 4351 | 741250 | 844245.1 |
| 4352 | 741250 | 857235.5 |
| 4353 | 741250 | 870225.9 |
| 4354 | 741250 | 883216.2 |
| 4355 | 741250 | 896206.6 |
| 4356 | 741250 | 909197.0 |
| 4357 | 741250 | 922187.4 |
| 4358 | 741250 | 935177.8 |
| 4359 | 741250 | 948168.1 |
| 4360 | 741250 | 961158.5 |
| 4361 | 741250 | 974148.9 |
| 4362 | 741250 | 987139.3 |
| 4363 | 741250 | 1000129.7 |
| 4364 | 741250 | 1013120.1 |
| 4365 | 741250 | 1026110.4 |
| 4366 | 741250 | 1039100.8 |
| 4367 | 741250 | 1052091.2 |
| 4368 | 741250 | 1065081.6 |
| 4369 | 741250 | 1078072.0 |
| 4370 | 741250 | 1091062.3 |
| 4371 | 741250 | 1104052.7 |
| 4372 | 745000 | 500000.0 |
| 4373 | 745000 | 512990.4 |
| 4374 | 745000 | 525980.8 |
| 4375 | 745000 | 538971.1 |
| 4376 | 745000 | 551961.5 |
| 4377 | 745000 | 564951.9 |
| 4378 | 745000 | 577942.3 |
| 4379 | 745000 | 590932.7 |
| 4380 | 745000 | 603923.0 |
| 4381 | 745000 | 616913.4 |
| 4382 | 745000 | 629903.8 |
| 4383 | 745000 | 642894.2 |
| 4384 | 745000 | 655884.6 |
| 4385 | 745000 | 668875.0 |
| 4386 | 745000 | 681865.3 |
| 4387 | 745000 | 694855.7 |
| 4388 | 745000 | 707846.1 |
| 4389 | 745000 | 720836.5 |
| 4390 | 745000 | 733826.9 |
| 4391 | 745000 | 746817.2 |
| 4392 | 745000 | 759807.6 |
| 4393 | 745000 | 772798.0 |
| 4394 | 745000 | 785788.4 |
| 4395 | 745000 | 798778.8 |
| 4396 | 745000 | 811769.1 |
| 4397 | 745000 | 824759.5 |
| 4398 | 745000 | 837749.9 |
| 4399 | 745000 | 850740.3 |
| 4400 | 745000 | 863730.7 |
| 4401 | 745000 | 876721.1 |
| 4402 | 745000 | 889711.4 |
| 4403 | 745000 | 902701.8 |
| 4404 | 745000 | 915692.2 |
| 4405 | 745000 | 928682.6 |
| 4406 | 745000 | 941673.0 |
| 4407 | 745000 | 954663.3 |
| 4408 | 745000 | 967653.7 |
| 4409 | 745000 | 980644.1 |
| 4410 | 745000 | 993634.5 |
| 4411 | 745000 | 1006624.9 |
| 4412 | 745000 | 1019615.2 |
| 4413 | 745000 | 1032605.6 |
| 4414 | 745000 | 1045596.0 |
| 4415 | 745000 | 1058586.4 |
| 4416 | 745000 | 1071576.8 |
| 4417 | 745000 | 1084567.1 |
| 4418 | 745000 | 1097557.5 |
| 4419 | 748750 | 506495.2 |
| 4420 | 748750 | 519485.6 |
| 4421 | 748750 | 532476.0 |
| 4422 | 748750 | 545466.3 |
| 4423 | 748750 | 558456.7 |
| 4424 | 748750 | 571447.1 |
| 4425 | 748750 | 584437.5 |
| 4426 | 748750 | 597427.9 |
| 4427 | 748750 | 610418.2 |
| 4428 | 748750 | 623408.6 |
| 4429 | 748750 | 636399.0 |
| 4430 | 748750 | 649389.4 |
| 4431 | 748750 | 662379.8 |
| 4432 | 748750 | 675370.1 |
| 4433 | 748750 | 688360.5 |
| 4434 | 748750 | 701350.9 |
| 4435 | 748750 | 714341.3 |
| 4436 | 748750 | 727331.7 |
| 4437 | 748750 | 740322.0 |
| 4438 | 748750 | 753312.4 |
| 4439 | 748750 | 766302.8 |
| 4440 | 748750 | 779293.2 |
| 4441 | 748750 | 792283.6 |
| 4442 | 748750 | 805274.0 |
| 4443 | 748750 | 818264.3 |
| 4444 | 748750 | 831254.7 |
| 4445 | 748750 | 844245.1 |
| 4446 | 748750 | 857235.5 |
| 4447 | 748750 | 870225.9 |
| 4448 | 748750 | 883216.2 |
| 4449 | 748750 | 896206.6 |
| 4450 | 748750 | 909197.0 |
| 4451 | 748750 | 922187.4 |
| 4452 | 748750 | 935177.8 |
| 4453 | 748750 | 948168.1 |
| 4454 | 748750 | 961158.5 |
| 4455 | 748750 | 974148.9 |
| 4456 | 748750 | 987139.3 |
| 4457 | 748750 | 1000129.7 |
| 4458 | 748750 | 1013120.1 |
| 4459 | 748750 | 1026110.4 |
| 4460 | 748750 | 1039100.8 |
| 4461 | 748750 | 1052091.2 |
| 4462 | 748750 | 1065081.6 |
| 4463 | 748750 | 1078072.0 |
| 4464 | 748750 | 1091062.3 |
| 4465 | 748750 | 1104052.7 |
| 4466 | 752500 | 500000.0 |
| 4467 | 752500 | 512990.4 |
| 4468 | 752500 | 525980.8 |
| 4469 | 752500 | 538971.1 |
| 4470 | 752500 | 551961.5 |
| 4471 | 752500 | 564951.9 |
| 4472 | 752500 | 577942.3 |
| 4473 | 752500 | 590932.7 |
| 4474 | 752500 | 603923.0 |
| 4475 | 752500 | 616913.4 |
| 4476 | 752500 | 629903.8 |
| 4477 | 752500 | 642894.2 |
| 4478 | 752500 | 655884.6 |
| 4479 | 752500 | 668875.0 |
| 4480 | 752500 | 681865.3 |
| 4481 | 752500 | 694855.7 |
| 4482 | 752500 | 707846.1 |
| 4483 | 752500 | 720836.5 |
| 4484 | 752500 | 733826.9 |
| 4485 | 752500 | 746817.2 |
| 4486 | 752500 | 759807.6 |
| 4487 | 752500 | 772798.0 |
| 4488 | 752500 | 785788.4 |
| 4489 | 752500 | 798778.8 |
| 4490 | 752500 | 811769.1 |
| 4491 | 752500 | 824759.5 |
| 4492 | 752500 | 837749.9 |
| 4493 | 752500 | 850740.3 |
| 4494 | 752500 | 863730.7 |
| 4495 | 752500 | 876721.1 |
| 4496 | 752500 | 889711.4 |
| 4497 | 752500 | 902701.8 |
| 4498 | 752500 | 915692.2 |
| 4499 | 752500 | 928682.6 |
| 4500 | 752500 | 941673.0 |
| 4501 | 752500 | 954663.3 |
| 4502 | 752500 | 967653.7 |
| 4503 | 752500 | 980644.1 |
| 4504 | 752500 | 993634.5 |
| 4505 | 752500 | 1006624.9 |
| 4506 | 752500 | 1019615.2 |
| 4507 | 752500 | 1032605.6 |
| 4508 | 752500 | 1045596.0 |
| 4509 | 752500 | 1058586.4 |
| 4510 | 752500 | 1071576.8 |
| 4511 | 752500 | 1084567.1 |
| 4512 | 752500 | 1097557.5 |
| 4513 | 756250 | 506495.2 |
| 4514 | 756250 | 519485.6 |
| 4515 | 756250 | 532476.0 |
| 4516 | 756250 | 545466.3 |
| 4517 | 756250 | 558456.7 |
| 4518 | 756250 | 571447.1 |
| 4519 | 756250 | 584437.5 |
| 4520 | 756250 | 597427.9 |
| 4521 | 756250 | 610418.2 |
| 4522 | 756250 | 623408.6 |
| 4523 | 756250 | 636399.0 |
| 4524 | 756250 | 649389.4 |
| 4525 | 756250 | 662379.8 |
| 4526 | 756250 | 675370.1 |
| 4527 | 756250 | 688360.5 |
| 4528 | 756250 | 701350.9 |
| 4529 | 756250 | 714341.3 |
| 4530 | 756250 | 727331.7 |
| 4531 | 756250 | 740322.0 |
| 4532 | 756250 | 753312.4 |
| 4533 | 756250 | 766302.8 |
| 4534 | 756250 | 779293.2 |
| 4535 | 756250 | 792283.6 |
| 4536 | 756250 | 805274.0 |
| 4537 | 756250 | 818264.3 |
| 4538 | 756250 | 831254.7 |
| 4539 | 756250 | 844245.1 |
| 4540 | 756250 | 857235.5 |
| 4541 | 756250 | 870225.9 |
| 4542 | 756250 | 883216.2 |
| 4543 | 756250 | 896206.6 |
| 4544 | 756250 | 909197.0 |
| 4545 | 756250 | 922187.4 |
| 4546 | 756250 | 935177.8 |
| 4547 | 756250 | 948168.1 |
| 4548 | 756250 | 961158.5 |
| 4549 | 756250 | 974148.9 |
| 4550 | 756250 | 987139.3 |
| 4551 | 756250 | 1000129.7 |
| 4552 | 756250 | 1013120.1 |
| 4553 | 756250 | 1026110.4 |
| 4554 | 756250 | 1039100.8 |
| 4555 | 756250 | 1052091.2 |
| 4556 | 756250 | 1065081.6 |
| 4557 | 756250 | 1078072.0 |
| 4558 | 756250 | 1091062.3 |
| 4559 | 756250 | 1104052.7 |
| 4560 | 760000 | 500000.0 |
| 4561 | 760000 | 512990.4 |
| 4562 | 760000 | 525980.8 |
| 4563 | 760000 | 538971.1 |
| 4564 | 760000 | 551961.5 |
| 4565 | 760000 | 564951.9 |
| 4566 | 760000 | 577942.3 |
| 4567 | 760000 | 590932.7 |
| 4568 | 760000 | 603923.0 |
| 4569 | 760000 | 616913.4 |
| 4570 | 760000 | 629903.8 |
| 4571 | 760000 | 642894.2 |
| 4572 | 760000 | 655884.6 |
| 4573 | 760000 | 668875.0 |
| 4574 | 760000 | 681865.3 |
| 4575 | 760000 | 694855.7 |
| 4576 | 760000 | 707846.1 |
| 4577 | 760000 | 720836.5 |
| 4578 | 760000 | 733826.9 |
| 4579 | 760000 | 746817.2 |
| 4580 | 760000 | 759807.6 |
| 4581 | 760000 | 772798.0 |
| 4582 | 760000 | 785788.4 |
| 4583 | 760000 | 798778.8 |
| 4584 | 760000 | 811769.1 |
| 4585 | 760000 | 824759.5 |
| 4586 | 760000 | 837749.9 |
| 4587 | 760000 | 850740.3 |
| 4588 | 760000 | 863730.7 |
| 4589 | 760000 | 876721.1 |
| 4590 | 760000 | 889711.4 |
| 4591 | 760000 | 902701.8 |
| 4592 | 760000 | 915692.2 |
| 4593 | 760000 | 928682.6 |
| 4594 | 760000 | 941673.0 |
| 4595 | 760000 | 954663.3 |
| 4596 | 760000 | 967653.7 |
| 4597 | 760000 | 980644.1 |
| 4598 | 760000 | 993634.5 |
| 4599 | 760000 | 1006624.9 |
| 4600 | 760000 | 1019615.2 |
| 4601 | 760000 | 1032605.6 |
| 4602 | 760000 | 1045596.0 |
| 4603 | 760000 | 1058586.4 |
| 4604 | 760000 | 1071576.8 |
| 4605 | 760000 | 1084567.1 |
| 4606 | 760000 | 1097557.5 |
| 4607 | 763750 | 506495.2 |
| 4608 | 763750 | 519485.6 |
| 4609 | 763750 | 532476.0 |
| 4610 | 763750 | 545466.3 |
| 4611 | 763750 | 558456.7 |
| 4612 | 763750 | 571447.1 |
| 4613 | 763750 | 584437.5 |
| 4614 | 763750 | 597427.9 |
| 4615 | 763750 | 610418.2 |
| 4616 | 763750 | 623408.6 |
| 4617 | 763750 | 636399.0 |
| 4618 | 763750 | 649389.4 |
| 4619 | 763750 | 662379.8 |
| 4620 | 763750 | 675370.1 |
| 4621 | 763750 | 688360.5 |
| 4622 | 763750 | 701350.9 |
| 4623 | 763750 | 714341.3 |
| 4624 | 763750 | 727331.7 |
| 4625 | 763750 | 740322.0 |
| 4626 | 763750 | 753312.4 |
| 4627 | 763750 | 766302.8 |
| 4628 | 763750 | 779293.2 |
| 4629 | 763750 | 792283.6 |
| 4630 | 763750 | 805274.0 |
| 4631 | 763750 | 818264.3 |
| 4632 | 763750 | 831254.7 |
| 4633 | 763750 | 844245.1 |
| 4634 | 763750 | 857235.5 |
| 4635 | 763750 | 870225.9 |
| 4636 | 763750 | 883216.2 |
| 4637 | 763750 | 896206.6 |
| 4638 | 763750 | 909197.0 |
| 4639 | 763750 | 922187.4 |
| 4640 | 763750 | 935177.8 |
| 4641 | 763750 | 948168.1 |
| 4642 | 763750 | 961158.5 |
| 4643 | 763750 | 974148.9 |
| 4644 | 763750 | 987139.3 |
| 4645 | 763750 | 1000129.7 |
| 4646 | 763750 | 1013120.1 |
| 4647 | 763750 | 1026110.4 |
| 4648 | 763750 | 1039100.8 |
| 4649 | 763750 | 1052091.2 |
| 4650 | 763750 | 1065081.6 |
| 4651 | 763750 | 1078072.0 |
| 4652 | 763750 | 1091062.3 |
| 4653 | 763750 | 1104052.7 |
| 4654 | 767500 | 500000.0 |
| 4655 | 767500 | 512990.4 |
| 4656 | 767500 | 525980.8 |
| 4657 | 767500 | 538971.1 |
| 4658 | 767500 | 551961.5 |
| 4659 | 767500 | 564951.9 |
| 4660 | 767500 | 577942.3 |
| 4661 | 767500 | 590932.7 |
| 4662 | 767500 | 603923.0 |
| 4663 | 767500 | 616913.4 |
| 4664 | 767500 | 629903.8 |
| 4665 | 767500 | 642894.2 |
| 4666 | 767500 | 655884.6 |
| 4667 | 767500 | 668875.0 |
| 4668 | 767500 | 681865.3 |
| 4669 | 767500 | 694855.7 |
| 4670 | 767500 | 707846.1 |
| 4671 | 767500 | 720836.5 |
| 4672 | 767500 | 733826.9 |
| 4673 | 767500 | 746817.2 |
| 4674 | 767500 | 759807.6 |
| 4675 | 767500 | 772798.0 |
| 4676 | 767500 | 785788.4 |
| 4677 | 767500 | 798778.8 |
| 4678 | 767500 | 811769.1 |
| 4679 | 767500 | 824759.5 |
| 4680 | 767500 | 837749.9 |
| 4681 | 767500 | 850740.3 |
| 4682 | 767500 | 863730.7 |
| 4683 | 767500 | 876721.1 |
| 4684 | 767500 | 889711.4 |
| 4685 | 767500 | 902701.8 |
| 4686 | 767500 | 915692.2 |
| 4687 | 767500 | 928682.6 |
| 4688 | 767500 | 941673.0 |
| 4689 | 767500 | 954663.3 |
| 4690 | 767500 | 967653.7 |
| 4691 | 767500 | 980644.1 |
| 4692 | 767500 | 993634.5 |
| 4693 | 767500 | 1006624.9 |
| 4694 | 767500 | 1019615.2 |
| 4695 | 767500 | 1032605.6 |
| 4696 | 767500 | 1045596.0 |
| 4697 | 767500 | 1058586.4 |
| 4698 | 767500 | 1071576.8 |
| 4699 | 767500 | 1084567.1 |
| 4700 | 767500 | 1097557.5 |
| 4701 | 771250 | 506495.2 |
| 4702 | 771250 | 519485.6 |
| 4703 | 771250 | 532476.0 |
| 4704 | 771250 | 545466.3 |
| 4705 | 771250 | 558456.7 |
| 4706 | 771250 | 571447.1 |
| 4707 | 771250 | 584437.5 |
| 4708 | 771250 | 597427.9 |
| 4709 | 771250 | 610418.2 |
| 4710 | 771250 | 623408.6 |
| 4711 | 771250 | 636399.0 |
| 4712 | 771250 | 649389.4 |
| 4713 | 771250 | 662379.8 |
| 4714 | 771250 | 675370.1 |
| 4715 | 771250 | 688360.5 |
| 4716 | 771250 | 701350.9 |
| 4717 | 771250 | 714341.3 |
| 4718 | 771250 | 727331.7 |
| 4719 | 771250 | 740322.0 |
| 4720 | 771250 | 753312.4 |
| 4721 | 771250 | 766302.8 |
| 4722 | 771250 | 779293.2 |
| 4723 | 771250 | 792283.6 |
| 4724 | 771250 | 805274.0 |
| 4725 | 771250 | 818264.3 |
| 4726 | 771250 | 831254.7 |
| 4727 | 771250 | 844245.1 |
| 4728 | 771250 | 857235.5 |
| 4729 | 771250 | 870225.9 |
| 4730 | 771250 | 883216.2 |
| 4731 | 771250 | 896206.6 |
| 4732 | 771250 | 909197.0 |
| 4733 | 771250 | 922187.4 |
| 4734 | 771250 | 935177.8 |
| 4735 | 771250 | 948168.1 |
| 4736 | 771250 | 961158.5 |
| 4737 | 771250 | 974148.9 |
| 4738 | 771250 | 987139.3 |
| 4739 | 771250 | 1000129.7 |
| 4740 | 771250 | 1013120.1 |
| 4741 | 771250 | 1026110.4 |
| 4742 | 771250 | 1039100.8 |
| 4743 | 771250 | 1052091.2 |
| 4744 | 771250 | 1065081.6 |
| 4745 | 771250 | 1078072.0 |
| 4746 | 771250 | 1091062.3 |
| 4747 | 771250 | 1104052.7 |
| 4748 | 775000 | 500000.0 |
| 4749 | 775000 | 512990.4 |
| 4750 | 775000 | 525980.8 |
| 4751 | 775000 | 538971.1 |
| 4752 | 775000 | 551961.5 |
| 4753 | 775000 | 564951.9 |
| 4754 | 775000 | 577942.3 |
| 4755 | 775000 | 590932.7 |
| 4756 | 775000 | 603923.0 |
| 4757 | 775000 | 616913.4 |
| 4758 | 775000 | 629903.8 |
| 4759 | 775000 | 642894.2 |
| 4760 | 775000 | 655884.6 |
| 4761 | 775000 | 668875.0 |
| 4762 | 775000 | 681865.3 |
| 4763 | 775000 | 694855.7 |
| 4764 | 775000 | 707846.1 |
| 4765 | 775000 | 720836.5 |
| 4766 | 775000 | 733826.9 |
| 4767 | 775000 | 746817.2 |
| 4768 | 775000 | 759807.6 |
| 4769 | 775000 | 772798.0 |
| 4770 | 775000 | 785788.4 |
| 4771 | 775000 | 798778.8 |
| 4772 | 775000 | 811769.1 |
| 4773 | 775000 | 824759.5 |
| 4774 | 775000 | 837749.9 |
| 4775 | 775000 | 850740.3 |
| 4776 | 775000 | 863730.7 |
| 4777 | 775000 | 876721.1 |
| 4778 | 775000 | 889711.4 |
| 4779 | 775000 | 902701.8 |
| 4780 | 775000 | 915692.2 |
| 4781 | 775000 | 928682.6 |
| 4782 | 775000 | 941673.0 |
| 4783 | 775000 | 954663.3 |
| 4784 | 775000 | 967653.7 |
| 4785 | 775000 | 980644.1 |
| 4786 | 775000 | 993634.5 |
| 4787 | 775000 | 1006624.9 |
| 4788 | 775000 | 1019615.2 |
| 4789 | 775000 | 1032605.6 |
| 4790 | 775000 | 1045596.0 |
| 4791 | 775000 | 1058586.4 |
| 4792 | 775000 | 1071576.8 |
| 4793 | 775000 | 1084567.1 |
| 4794 | 775000 | 1097557.5 |
| 4795 | 778750 | 506495.2 |
| 4796 | 778750 | 519485.6 |
| 4797 | 778750 | 532476.0 |
| 4798 | 778750 | 545466.3 |
| 4799 | 778750 | 558456.7 |
| 4800 | 778750 | 571447.1 |
| 4801 | 778750 | 584437.5 |
| 4802 | 778750 | 597427.9 |
| 4803 | 778750 | 610418.2 |
| 4804 | 778750 | 623408.6 |
| 4805 | 778750 | 636399.0 |
| 4806 | 778750 | 649389.4 |
| 4807 | 778750 | 662379.8 |
| 4808 | 778750 | 675370.1 |
| 4809 | 778750 | 688360.5 |
| 4810 | 778750 | 701350.9 |
| 4811 | 778750 | 714341.3 |
| 4812 | 778750 | 727331.7 |
| 4813 | 778750 | 740322.0 |
| 4814 | 778750 | 753312.4 |
| 4815 | 778750 | 766302.8 |
| 4816 | 778750 | 779293.2 |
| 4817 | 778750 | 792283.6 |
| 4818 | 778750 | 805274.0 |
| 4819 | 778750 | 818264.3 |
| 4820 | 778750 | 831254.7 |
| 4821 | 778750 | 844245.1 |
| 4822 | 778750 | 857235.5 |
| 4823 | 778750 | 870225.9 |
| 4824 | 778750 | 883216.2 |
| 4825 | 778750 | 896206.6 |
| 4826 | 778750 | 909197.0 |
| 4827 | 778750 | 922187.4 |
| 4828 | 778750 | 935177.8 |
| 4829 | 778750 | 948168.1 |
| 4830 | 778750 | 961158.5 |
| 4831 | 778750 | 974148.9 |
| 4832 | 778750 | 987139.3 |
| 4833 | 778750 | 1000129.7 |
| 4834 | 778750 | 1013120.1 |
| 4835 | 778750 | 1026110.4 |
| 4836 | 778750 | 1039100.8 |
| 4837 | 778750 | 1052091.2 |
| 4838 | 778750 | 1065081.6 |
| 4839 | 778750 | 1078072.0 |
| 4840 | 778750 | 1091062.3 |
| 4841 | 778750 | 1104052.7 |
| 4842 | 782500 | 500000.0 |
| 4843 | 782500 | 512990.4 |
| 4844 | 782500 | 525980.8 |
| 4845 | 782500 | 538971.1 |
| 4846 | 782500 | 551961.5 |
| 4847 | 782500 | 564951.9 |
| 4848 | 782500 | 577942.3 |
| 4849 | 782500 | 590932.7 |
| 4850 | 782500 | 603923.0 |
| 4851 | 782500 | 616913.4 |
| 4852 | 782500 | 629903.8 |
| 4853 | 782500 | 642894.2 |
| 4854 | 782500 | 655884.6 |
| 4855 | 782500 | 668875.0 |
| 4856 | 782500 | 681865.3 |
| 4857 | 782500 | 694855.7 |
| 4858 | 782500 | 707846.1 |
| 4859 | 782500 | 720836.5 |
| 4860 | 782500 | 733826.9 |
| 4861 | 782500 | 746817.2 |
| 4862 | 782500 | 759807.6 |
| 4863 | 782500 | 772798.0 |
| 4864 | 782500 | 785788.4 |
| 4865 | 782500 | 798778.8 |
| 4866 | 782500 | 811769.1 |
| 4867 | 782500 | 824759.5 |
| 4868 | 782500 | 837749.9 |
| 4869 | 782500 | 850740.3 |
| 4870 | 782500 | 863730.7 |
| 4871 | 782500 | 876721.1 |
| 4872 | 782500 | 889711.4 |
| 4873 | 782500 | 902701.8 |
| 4874 | 782500 | 915692.2 |
| 4875 | 782500 | 928682.6 |
| 4876 | 782500 | 941673.0 |
| 4877 | 782500 | 954663.3 |
| 4878 | 782500 | 967653.7 |
| 4879 | 782500 | 980644.1 |
| 4880 | 782500 | 993634.5 |
| 4881 | 782500 | 1006624.9 |
| 4882 | 782500 | 1019615.2 |
| 4883 | 782500 | 1032605.6 |
| 4884 | 782500 | 1045596.0 |
| 4885 | 782500 | 1058586.4 |
| 4886 | 782500 | 1071576.8 |
| 4887 | 782500 | 1084567.1 |
| 4888 | 782500 | 1097557.5 |
| 4889 | 786250 | 506495.2 |
| 4890 | 786250 | 519485.6 |
| 4891 | 786250 | 532476.0 |
| 4892 | 786250 | 545466.3 |
| 4893 | 786250 | 558456.7 |
| 4894 | 786250 | 571447.1 |
| 4895 | 786250 | 584437.5 |
| 4896 | 786250 | 597427.9 |
| 4897 | 786250 | 610418.2 |
| 4898 | 786250 | 623408.6 |
| 4899 | 786250 | 636399.0 |
| 4900 | 786250 | 649389.4 |
| 4901 | 786250 | 662379.8 |
| 4902 | 786250 | 675370.1 |
| 4903 | 786250 | 688360.5 |
| 4904 | 786250 | 701350.9 |
| 4905 | 786250 | 714341.3 |
| 4906 | 786250 | 727331.7 |
| 4907 | 786250 | 740322.0 |
| 4908 | 786250 | 753312.4 |
| 4909 | 786250 | 766302.8 |
| 4910 | 786250 | 779293.2 |
| 4911 | 786250 | 792283.6 |
| 4912 | 786250 | 805274.0 |
| 4913 | 786250 | 818264.3 |
| 4914 | 786250 | 831254.7 |
| 4915 | 786250 | 844245.1 |
| 4916 | 786250 | 857235.5 |
| 4917 | 786250 | 870225.9 |
| 4918 | 786250 | 883216.2 |
| 4919 | 786250 | 896206.6 |
| 4920 | 786250 | 909197.0 |
| 4921 | 786250 | 922187.4 |
| 4922 | 786250 | 935177.8 |
| 4923 | 786250 | 948168.1 |
| 4924 | 786250 | 961158.5 |
| 4925 | 786250 | 974148.9 |
| 4926 | 786250 | 987139.3 |
| 4927 | 786250 | 1000129.7 |
| 4928 | 786250 | 1013120.1 |
| 4929 | 786250 | 1026110.4 |
| 4930 | 786250 | 1039100.8 |
| 4931 | 786250 | 1052091.2 |
| 4932 | 786250 | 1065081.6 |
| 4933 | 786250 | 1078072.0 |
| 4934 | 786250 | 1091062.3 |
| 4935 | 786250 | 1104052.7 |
| 4936 | 790000 | 500000.0 |
| 4937 | 790000 | 512990.4 |
| 4938 | 790000 | 525980.8 |
| 4939 | 790000 | 538971.1 |
| 4940 | 790000 | 551961.5 |
| 4941 | 790000 | 564951.9 |
| 4942 | 790000 | 577942.3 |
| 4943 | 790000 | 590932.7 |
| 4944 | 790000 | 603923.0 |
| 4945 | 790000 | 616913.4 |
| 4946 | 790000 | 629903.8 |
| 4947 | 790000 | 642894.2 |
| 4948 | 790000 | 655884.6 |
| 4949 | 790000 | 668875.0 |
| 4950 | 790000 | 681865.3 |
| 4951 | 790000 | 694855.7 |
| 4952 | 790000 | 707846.1 |
| 4953 | 790000 | 720836.5 |
| 4954 | 790000 | 733826.9 |
| 4955 | 790000 | 746817.2 |
| 4956 | 790000 | 759807.6 |
| 4957 | 790000 | 772798.0 |
| 4958 | 790000 | 785788.4 |
| 4959 | 790000 | 798778.8 |
| 4960 | 790000 | 811769.1 |
| 4961 | 790000 | 824759.5 |
| 4962 | 790000 | 837749.9 |
| 4963 | 790000 | 850740.3 |
| 4964 | 790000 | 863730.7 |
| 4965 | 790000 | 876721.1 |
| 4966 | 790000 | 889711.4 |
| 4967 | 790000 | 902701.8 |
| 4968 | 790000 | 915692.2 |
| 4969 | 790000 | 928682.6 |
| 4970 | 790000 | 941673.0 |
| 4971 | 790000 | 954663.3 |
| 4972 | 790000 | 967653.7 |
| 4973 | 790000 | 980644.1 |
| 4974 | 790000 | 993634.5 |
| 4975 | 790000 | 1006624.9 |
| 4976 | 790000 | 1019615.2 |
| 4977 | 790000 | 1032605.6 |
| 4978 | 790000 | 1045596.0 |
| 4979 | 790000 | 1058586.4 |
| 4980 | 790000 | 1071576.8 |
| 4981 | 790000 | 1084567.1 |
| 4982 | 790000 | 1097557.5 |
| 4983 | 793750 | 506495.2 |
| 4984 | 793750 | 519485.6 |
| 4985 | 793750 | 532476.0 |
| 4986 | 793750 | 545466.3 |
| 4987 | 793750 | 558456.7 |
| 4988 | 793750 | 571447.1 |
| 4989 | 793750 | 584437.5 |
| 4990 | 793750 | 597427.9 |
| 4991 | 793750 | 610418.2 |
| 4992 | 793750 | 623408.6 |
| 4993 | 793750 | 636399.0 |
| 4994 | 793750 | 649389.4 |
| 4995 | 793750 | 662379.8 |
| 4996 | 793750 | 675370.1 |
| 4997 | 793750 | 688360.5 |
| 4998 | 793750 | 701350.9 |
| 4999 | 793750 | 714341.3 |
| 5000 | 793750 | 727331.7 |
| 5001 | 793750 | 740322.0 |
| 5002 | 793750 | 753312.4 |
| 5003 | 793750 | 766302.8 |
| 5004 | 793750 | 779293.2 |
| 5005 | 793750 | 792283.6 |
| 5006 | 793750 | 805274.0 |
| 5007 | 793750 | 818264.3 |
| 5008 | 793750 | 831254.7 |
| 5009 | 793750 | 844245.1 |
| 5010 | 793750 | 857235.5 |
| 5011 | 793750 | 870225.9 |
| 5012 | 793750 | 883216.2 |
| 5013 | 793750 | 896206.6 |
| 5014 | 793750 | 909197.0 |
| 5015 | 793750 | 922187.4 |
| 5016 | 793750 | 935177.8 |
| 5017 | 793750 | 948168.1 |
| 5018 | 793750 | 961158.5 |
| 5019 | 793750 | 974148.9 |
| 5020 | 793750 | 987139.3 |
| 5021 | 793750 | 1000129.7 |
| 5022 | 793750 | 1013120.1 |
| 5023 | 793750 | 1026110.4 |
| 5024 | 793750 | 1039100.8 |
| 5025 | 793750 | 1052091.2 |
| 5026 | 793750 | 1065081.6 |
| 5027 | 793750 | 1078072.0 |
| 5028 | 793750 | 1091062.3 |
| 5029 | 793750 | 1104052.7 |
| 5030 | 797500 | 500000.0 |
| 5031 | 797500 | 512990.4 |
| 5032 | 797500 | 525980.8 |
| 5033 | 797500 | 538971.1 |
| 5034 | 797500 | 551961.5 |
| 5035 | 797500 | 564951.9 |
| 5036 | 797500 | 577942.3 |
| 5037 | 797500 | 590932.7 |
| 5038 | 797500 | 603923.0 |
| 5039 | 797500 | 616913.4 |
| 5040 | 797500 | 629903.8 |
| 5041 | 797500 | 642894.2 |
| 5042 | 797500 | 655884.6 |
| 5043 | 797500 | 668875.0 |
| 5044 | 797500 | 681865.3 |
| 5045 | 797500 | 694855.7 |
| 5046 | 797500 | 707846.1 |
| 5047 | 797500 | 720836.5 |
| 5048 | 797500 | 733826.9 |
| 5049 | 797500 | 746817.2 |
| 5050 | 797500 | 759807.6 |
| 5051 | 797500 | 772798.0 |
| 5052 | 797500 | 785788.4 |
| 5053 | 797500 | 798778.8 |
| 5054 | 797500 | 811769.1 |
| 5055 | 797500 | 824759.5 |
| 5056 | 797500 | 837749.9 |
| 5057 | 797500 | 850740.3 |
| 5058 | 797500 | 863730.7 |
| 5059 | 797500 | 876721.1 |
| 5060 | 797500 | 889711.4 |
| 5061 | 797500 | 902701.8 |
| 5062 | 797500 | 915692.2 |
| 5063 | 797500 | 928682.6 |
| 5064 | 797500 | 941673.0 |
| 5065 | 797500 | 954663.3 |
| 5066 | 797500 | 967653.7 |
| 5067 | 797500 | 980644.1 |
| 5068 | 797500 | 993634.5 |
| 5069 | 797500 | 1006624.9 |
| 5070 | 797500 | 1019615.2 |
| 5071 | 797500 | 1032605.6 |
| 5072 | 797500 | 1045596.0 |
| 5073 | 797500 | 1058586.4 |
| 5074 | 797500 | 1071576.8 |
| 5075 | 797500 | 1084567.1 |
| 5076 | 797500 | 1097557.5 |
| 5077 | 801250 | 506495.2 |
| 5078 | 801250 | 519485.6 |
| 5079 | 801250 | 532476.0 |
| 5080 | 801250 | 545466.3 |
| 5081 | 801250 | 558456.7 |
| 5082 | 801250 | 571447.1 |
| 5083 | 801250 | 584437.5 |
| 5084 | 801250 | 597427.9 |
| 5085 | 801250 | 610418.2 |
| 5086 | 801250 | 623408.6 |
| 5087 | 801250 | 636399.0 |
| 5088 | 801250 | 649389.4 |
| 5089 | 801250 | 662379.8 |
| 5090 | 801250 | 675370.1 |
| 5091 | 801250 | 688360.5 |
| 5092 | 801250 | 701350.9 |
| 5093 | 801250 | 714341.3 |
| 5094 | 801250 | 727331.7 |
| 5095 | 801250 | 740322.0 |
| 5096 | 801250 | 753312.4 |
| 5097 | 801250 | 766302.8 |
| 5098 | 801250 | 779293.2 |
| 5099 | 801250 | 792283.6 |
| 5100 | 801250 | 805274.0 |
| 5101 | 801250 | 818264.3 |
| 5102 | 801250 | 831254.7 |
| 5103 | 801250 | 844245.1 |
| 5104 | 801250 | 857235.5 |
| 5105 | 801250 | 870225.9 |
| 5106 | 801250 | 883216.2 |
| 5107 | 801250 | 896206.6 |
| 5108 | 801250 | 909197.0 |
| 5109 | 801250 | 922187.4 |
| 5110 | 801250 | 935177.8 |
| 5111 | 801250 | 948168.1 |
| 5112 | 801250 | 961158.5 |
| 5113 | 801250 | 974148.9 |
| 5114 | 801250 | 987139.3 |
| 5115 | 801250 | 1000129.7 |
| 5116 | 801250 | 1013120.1 |
| 5117 | 801250 | 1026110.4 |
| 5118 | 801250 | 1039100.8 |
| 5119 | 801250 | 1052091.2 |
| 5120 | 801250 | 1065081.6 |
| 5121 | 801250 | 1078072.0 |
| 5122 | 801250 | 1091062.3 |
| 5123 | 801250 | 1104052.7 |
| 5124 | 805000 | 500000.0 |
| 5125 | 805000 | 512990.4 |
| 5126 | 805000 | 525980.8 |
| 5127 | 805000 | 538971.1 |
| 5128 | 805000 | 551961.5 |
| 5129 | 805000 | 564951.9 |
| 5130 | 805000 | 577942.3 |
| 5131 | 805000 | 590932.7 |
| 5132 | 805000 | 603923.0 |
| 5133 | 805000 | 616913.4 |
| 5134 | 805000 | 629903.8 |
| 5135 | 805000 | 642894.2 |
| 5136 | 805000 | 655884.6 |
| 5137 | 805000 | 668875.0 |
| 5138 | 805000 | 681865.3 |
| 5139 | 805000 | 694855.7 |
| 5140 | 805000 | 707846.1 |
| 5141 | 805000 | 720836.5 |
| 5142 | 805000 | 733826.9 |
| 5143 | 805000 | 746817.2 |
| 5144 | 805000 | 759807.6 |
| 5145 | 805000 | 772798.0 |
| 5146 | 805000 | 785788.4 |
| 5147 | 805000 | 798778.8 |
| 5148 | 805000 | 811769.1 |
| 5149 | 805000 | 824759.5 |
| 5150 | 805000 | 837749.9 |
| 5151 | 805000 | 850740.3 |
| 5152 | 805000 | 863730.7 |
| 5153 | 805000 | 876721.1 |
| 5154 | 805000 | 889711.4 |
| 5155 | 805000 | 902701.8 |
| 5156 | 805000 | 915692.2 |
| 5157 | 805000 | 928682.6 |
| 5158 | 805000 | 941673.0 |
| 5159 | 805000 | 954663.3 |
| 5160 | 805000 | 967653.7 |
| 5161 | 805000 | 980644.1 |
| 5162 | 805000 | 993634.5 |
| 5163 | 805000 | 1006624.9 |
| 5164 | 805000 | 1019615.2 |
| 5165 | 805000 | 1032605.6 |
| 5166 | 805000 | 1045596.0 |
| 5167 | 805000 | 1058586.4 |
| 5168 | 805000 | 1071576.8 |
| 5169 | 805000 | 1084567.1 |
| 5170 | 805000 | 1097557.5 |
| 5171 | 808750 | 506495.2 |
| 5172 | 808750 | 519485.6 |
| 5173 | 808750 | 532476.0 |
| 5174 | 808750 | 545466.3 |
| 5175 | 808750 | 558456.7 |
| 5176 | 808750 | 571447.1 |
| 5177 | 808750 | 584437.5 |
| 5178 | 808750 | 597427.9 |
| 5179 | 808750 | 610418.2 |
| 5180 | 808750 | 623408.6 |
| 5181 | 808750 | 636399.0 |
| 5182 | 808750 | 649389.4 |
| 5183 | 808750 | 662379.8 |
| 5184 | 808750 | 675370.1 |
| 5185 | 808750 | 688360.5 |
| 5186 | 808750 | 701350.9 |
| 5187 | 808750 | 714341.3 |
| 5188 | 808750 | 727331.7 |
| 5189 | 808750 | 740322.0 |
| 5190 | 808750 | 753312.4 |
| 5191 | 808750 | 766302.8 |
| 5192 | 808750 | 779293.2 |
| 5193 | 808750 | 792283.6 |
| 5194 | 808750 | 805274.0 |
| 5195 | 808750 | 818264.3 |
| 5196 | 808750 | 831254.7 |
| 5197 | 808750 | 844245.1 |
| 5198 | 808750 | 857235.5 |
| 5199 | 808750 | 870225.9 |
| 5200 | 808750 | 883216.2 |
| 5201 | 808750 | 896206.6 |
| 5202 | 808750 | 909197.0 |
| 5203 | 808750 | 922187.4 |
| 5204 | 808750 | 935177.8 |
| 5205 | 808750 | 948168.1 |
| 5206 | 808750 | 961158.5 |
| 5207 | 808750 | 974148.9 |
| 5208 | 808750 | 987139.3 |
| 5209 | 808750 | 1000129.7 |
| 5210 | 808750 | 1013120.1 |
| 5211 | 808750 | 1026110.4 |
| 5212 | 808750 | 1039100.8 |
| 5213 | 808750 | 1052091.2 |
| 5214 | 808750 | 1065081.6 |
| 5215 | 808750 | 1078072.0 |
| 5216 | 808750 | 1091062.3 |
| 5217 | 808750 | 1104052.7 |
| 5218 | 812500 | 500000.0 |
| 5219 | 812500 | 512990.4 |
| 5220 | 812500 | 525980.8 |
| 5221 | 812500 | 538971.1 |
| 5222 | 812500 | 551961.5 |
| 5223 | 812500 | 564951.9 |
| 5224 | 812500 | 577942.3 |
| 5225 | 812500 | 590932.7 |
| 5226 | 812500 | 603923.0 |
| 5227 | 812500 | 616913.4 |
| 5228 | 812500 | 629903.8 |
| 5229 | 812500 | 642894.2 |
| 5230 | 812500 | 655884.6 |
| 5231 | 812500 | 668875.0 |
| 5232 | 812500 | 681865.3 |
| 5233 | 812500 | 694855.7 |
| 5234 | 812500 | 707846.1 |
| 5235 | 812500 | 720836.5 |
| 5236 | 812500 | 733826.9 |
| 5237 | 812500 | 746817.2 |
| 5238 | 812500 | 759807.6 |
| 5239 | 812500 | 772798.0 |
| 5240 | 812500 | 785788.4 |
| 5241 | 812500 | 798778.8 |
| 5242 | 812500 | 811769.1 |
| 5243 | 812500 | 824759.5 |
| 5244 | 812500 | 837749.9 |
| 5245 | 812500 | 850740.3 |
| 5246 | 812500 | 863730.7 |
| 5247 | 812500 | 876721.1 |
| 5248 | 812500 | 889711.4 |
| 5249 | 812500 | 902701.8 |
| 5250 | 812500 | 915692.2 |
| 5251 | 812500 | 928682.6 |
| 5252 | 812500 | 941673.0 |
| 5253 | 812500 | 954663.3 |
| 5254 | 812500 | 967653.7 |
| 5255 | 812500 | 980644.1 |
| 5256 | 812500 | 993634.5 |
| 5257 | 812500 | 1006624.9 |
| 5258 | 812500 | 1019615.2 |
| 5259 | 812500 | 1032605.6 |
| 5260 | 812500 | 1045596.0 |
| 5261 | 812500 | 1058586.4 |
| 5262 | 812500 | 1071576.8 |
| 5263 | 812500 | 1084567.1 |
| 5264 | 812500 | 1097557.5 |
| 5265 | 816250 | 506495.2 |
| 5266 | 816250 | 519485.6 |
| 5267 | 816250 | 532476.0 |
| 5268 | 816250 | 545466.3 |
| 5269 | 816250 | 558456.7 |
| 5270 | 816250 | 571447.1 |
| 5271 | 816250 | 584437.5 |
| 5272 | 816250 | 597427.9 |
| 5273 | 816250 | 610418.2 |
| 5274 | 816250 | 623408.6 |
| 5275 | 816250 | 636399.0 |
| 5276 | 816250 | 649389.4 |
| 5277 | 816250 | 662379.8 |
| 5278 | 816250 | 675370.1 |
| 5279 | 816250 | 688360.5 |
| 5280 | 816250 | 701350.9 |
| 5281 | 816250 | 714341.3 |
| 5282 | 816250 | 727331.7 |
| 5283 | 816250 | 740322.0 |
| 5284 | 816250 | 753312.4 |
| 5285 | 816250 | 766302.8 |
| 5286 | 816250 | 779293.2 |
| 5287 | 816250 | 792283.6 |
| 5288 | 816250 | 805274.0 |
| 5289 | 816250 | 818264.3 |
| 5290 | 816250 | 831254.7 |
| 5291 | 816250 | 844245.1 |
| 5292 | 816250 | 857235.5 |
| 5293 | 816250 | 870225.9 |
| 5294 | 816250 | 883216.2 |
| 5295 | 816250 | 896206.6 |
| 5296 | 816250 | 909197.0 |
| 5297 | 816250 | 922187.4 |
| 5298 | 816250 | 935177.8 |
| 5299 | 816250 | 948168.1 |
| 5300 | 816250 | 961158.5 |
| 5301 | 816250 | 974148.9 |
| 5302 | 816250 | 987139.3 |
| 5303 | 816250 | 1000129.7 |
| 5304 | 816250 | 1013120.1 |
| 5305 | 816250 | 1026110.4 |
| 5306 | 816250 | 1039100.8 |
| 5307 | 816250 | 1052091.2 |
| 5308 | 816250 | 1065081.6 |
| 5309 | 816250 | 1078072.0 |
| 5310 | 816250 | 1091062.3 |
| 5311 | 816250 | 1104052.7 |
| 5312 | 820000 | 500000.0 |
| 5313 | 820000 | 512990.4 |
| 5314 | 820000 | 525980.8 |
| 5315 | 820000 | 538971.1 |
| 5316 | 820000 | 551961.5 |
| 5317 | 820000 | 564951.9 |
| 5318 | 820000 | 577942.3 |
| 5319 | 820000 | 590932.7 |
| 5320 | 820000 | 603923.0 |
| 5321 | 820000 | 616913.4 |
| 5322 | 820000 | 629903.8 |
| 5323 | 820000 | 642894.2 |
| 5324 | 820000 | 655884.6 |
| 5325 | 820000 | 668875.0 |
| 5326 | 820000 | 681865.3 |
| 5327 | 820000 | 694855.7 |
| 5328 | 820000 | 707846.1 |
| 5329 | 820000 | 720836.5 |
| 5330 | 820000 | 733826.9 |
| 5331 | 820000 | 746817.2 |
| 5332 | 820000 | 759807.6 |
| 5333 | 820000 | 772798.0 |
| 5334 | 820000 | 785788.4 |
| 5335 | 820000 | 798778.8 |
| 5336 | 820000 | 811769.1 |
| 5337 | 820000 | 824759.5 |
| 5338 | 820000 | 837749.9 |
| 5339 | 820000 | 850740.3 |
| 5340 | 820000 | 863730.7 |
| 5341 | 820000 | 876721.1 |
| 5342 | 820000 | 889711.4 |
| 5343 | 820000 | 902701.8 |
| 5344 | 820000 | 915692.2 |
| 5345 | 820000 | 928682.6 |
| 5346 | 820000 | 941673.0 |
| 5347 | 820000 | 954663.3 |
| 5348 | 820000 | 967653.7 |
| 5349 | 820000 | 980644.1 |
| 5350 | 820000 | 993634.5 |
| 5351 | 820000 | 1006624.9 |
| 5352 | 820000 | 1019615.2 |
| 5353 | 820000 | 1032605.6 |
| 5354 | 820000 | 1045596.0 |
| 5355 | 820000 | 1058586.4 |
| 5356 | 820000 | 1071576.8 |
| 5357 | 820000 | 1084567.1 |
| 5358 | 820000 | 1097557.5 |
| 5359 | 823750 | 506495.2 |
| 5360 | 823750 | 519485.6 |
| 5361 | 823750 | 532476.0 |
| 5362 | 823750 | 545466.3 |
| 5363 | 823750 | 558456.7 |
| 5364 | 823750 | 571447.1 |
| 5365 | 823750 | 584437.5 |
| 5366 | 823750 | 597427.9 |
| 5367 | 823750 | 610418.2 |
| 5368 | 823750 | 623408.6 |
| 5369 | 823750 | 636399.0 |
| 5370 | 823750 | 649389.4 |
| 5371 | 823750 | 662379.8 |
| 5372 | 823750 | 675370.1 |
| 5373 | 823750 | 688360.5 |
| 5374 | 823750 | 701350.9 |
| 5375 | 823750 | 714341.3 |
| 5376 | 823750 | 727331.7 |
| 5377 | 823750 | 740322.0 |
| 5378 | 823750 | 753312.4 |
| 5379 | 823750 | 766302.8 |
| 5380 | 823750 | 779293.2 |
| 5381 | 823750 | 792283.6 |
| 5382 | 823750 | 805274.0 |
| 5383 | 823750 | 818264.3 |
| 5384 | 823750 | 831254.7 |
| 5385 | 823750 | 844245.1 |
| 5386 | 823750 | 857235.5 |
| 5387 | 823750 | 870225.9 |
| 5388 | 823750 | 883216.2 |
| 5389 | 823750 | 896206.6 |
| 5390 | 823750 | 909197.0 |
| 5391 | 823750 | 922187.4 |
| 5392 | 823750 | 935177.8 |
| 5393 | 823750 | 948168.1 |
| 5394 | 823750 | 961158.5 |
| 5395 | 823750 | 974148.9 |
| 5396 | 823750 | 987139.3 |
| 5397 | 823750 | 1000129.7 |
| 5398 | 823750 | 1013120.1 |
| 5399 | 823750 | 1026110.4 |
| 5400 | 823750 | 1039100.8 |
| 5401 | 823750 | 1052091.2 |
| 5402 | 823750 | 1065081.6 |
| 5403 | 823750 | 1078072.0 |
| 5404 | 823750 | 1091062.3 |
| 5405 | 823750 | 1104052.7 |
| 5406 | 827500 | 500000.0 |
| 5407 | 827500 | 512990.4 |
| 5408 | 827500 | 525980.8 |
| 5409 | 827500 | 538971.1 |
| 5410 | 827500 | 551961.5 |
| 5411 | 827500 | 564951.9 |
| 5412 | 827500 | 577942.3 |
| 5413 | 827500 | 590932.7 |
| 5414 | 827500 | 603923.0 |
| 5415 | 827500 | 616913.4 |
| 5416 | 827500 | 629903.8 |
| 5417 | 827500 | 642894.2 |
| 5418 | 827500 | 655884.6 |
| 5419 | 827500 | 668875.0 |
| 5420 | 827500 | 681865.3 |
| 5421 | 827500 | 694855.7 |
| 5422 | 827500 | 707846.1 |
| 5423 | 827500 | 720836.5 |
| 5424 | 827500 | 733826.9 |
| 5425 | 827500 | 746817.2 |
| 5426 | 827500 | 759807.6 |
| 5427 | 827500 | 772798.0 |
| 5428 | 827500 | 785788.4 |
| 5429 | 827500 | 798778.8 |
| 5430 | 827500 | 811769.1 |
| 5431 | 827500 | 824759.5 |
| 5432 | 827500 | 837749.9 |
| 5433 | 827500 | 850740.3 |
| 5434 | 827500 | 863730.7 |
| 5435 | 827500 | 876721.1 |
| 5436 | 827500 | 889711.4 |
| 5437 | 827500 | 902701.8 |
| 5438 | 827500 | 915692.2 |
| 5439 | 827500 | 928682.6 |
| 5440 | 827500 | 941673.0 |
| 5441 | 827500 | 954663.3 |
| 5442 | 827500 | 967653.7 |
| 5443 | 827500 | 980644.1 |
| 5444 | 827500 | 993634.5 |
| 5445 | 827500 | 1006624.9 |
| 5446 | 827500 | 1019615.2 |
| 5447 | 827500 | 1032605.6 |
| 5448 | 827500 | 1045596.0 |
| 5449 | 827500 | 1058586.4 |
| 5450 | 827500 | 1071576.8 |
| 5451 | 827500 | 1084567.1 |
| 5452 | 827500 | 1097557.5 |
| 5453 | 831250 | 506495.2 |
| 5454 | 831250 | 519485.6 |
| 5455 | 831250 | 532476.0 |
| 5456 | 831250 | 545466.3 |
| 5457 | 831250 | 558456.7 |
| 5458 | 831250 | 571447.1 |
| 5459 | 831250 | 584437.5 |
| 5460 | 831250 | 597427.9 |
| 5461 | 831250 | 610418.2 |
| 5462 | 831250 | 623408.6 |
| 5463 | 831250 | 636399.0 |
| 5464 | 831250 | 649389.4 |
| 5465 | 831250 | 662379.8 |
| 5466 | 831250 | 675370.1 |
| 5467 | 831250 | 688360.5 |
| 5468 | 831250 | 701350.9 |
| 5469 | 831250 | 714341.3 |
| 5470 | 831250 | 727331.7 |
| 5471 | 831250 | 740322.0 |
| 5472 | 831250 | 753312.4 |
| 5473 | 831250 | 766302.8 |
| 5474 | 831250 | 779293.2 |
| 5475 | 831250 | 792283.6 |
| 5476 | 831250 | 805274.0 |
| 5477 | 831250 | 818264.3 |
| 5478 | 831250 | 831254.7 |
| 5479 | 831250 | 844245.1 |
| 5480 | 831250 | 857235.5 |
| 5481 | 831250 | 870225.9 |
| 5482 | 831250 | 883216.2 |
| 5483 | 831250 | 896206.6 |
| 5484 | 831250 | 909197.0 |
| 5485 | 831250 | 922187.4 |
| 5486 | 831250 | 935177.8 |
| 5487 | 831250 | 948168.1 |
| 5488 | 831250 | 961158.5 |
| 5489 | 831250 | 974148.9 |
| 5490 | 831250 | 987139.3 |
| 5491 | 831250 | 1000129.7 |
| 5492 | 831250 | 1013120.1 |
| 5493 | 831250 | 1026110.4 |
| 5494 | 831250 | 1039100.8 |
| 5495 | 831250 | 1052091.2 |
| 5496 | 831250 | 1065081.6 |
| 5497 | 831250 | 1078072.0 |
| 5498 | 831250 | 1091062.3 |
| 5499 | 831250 | 1104052.7 |
| 5500 | 835000 | 500000.0 |
| 5501 | 835000 | 512990.4 |
| 5502 | 835000 | 525980.8 |
| 5503 | 835000 | 538971.1 |
| 5504 | 835000 | 551961.5 |
| 5505 | 835000 | 564951.9 |
| 5506 | 835000 | 577942.3 |
| 5507 | 835000 | 590932.7 |
| 5508 | 835000 | 603923.0 |
| 5509 | 835000 | 616913.4 |
| 5510 | 835000 | 629903.8 |
| 5511 | 835000 | 642894.2 |
| 5512 | 835000 | 655884.6 |
| 5513 | 835000 | 668875.0 |
| 5514 | 835000 | 681865.3 |
| 5515 | 835000 | 694855.7 |
| 5516 | 835000 | 707846.1 |
| 5517 | 835000 | 720836.5 |
| 5518 | 835000 | 733826.9 |
| 5519 | 835000 | 746817.2 |
| 5520 | 835000 | 759807.6 |
| 5521 | 835000 | 772798.0 |
| 5522 | 835000 | 785788.4 |
| 5523 | 835000 | 798778.8 |
| 5524 | 835000 | 811769.1 |
| 5525 | 835000 | 824759.5 |
| 5526 | 835000 | 837749.9 |
| 5527 | 835000 | 850740.3 |
| 5528 | 835000 | 863730.7 |
| 5529 | 835000 | 876721.1 |
| 5530 | 835000 | 889711.4 |
| 5531 | 835000 | 902701.8 |
| 5532 | 835000 | 915692.2 |
| 5533 | 835000 | 928682.6 |
| 5534 | 835000 | 941673.0 |
| 5535 | 835000 | 954663.3 |
| 5536 | 835000 | 967653.7 |
| 5537 | 835000 | 980644.1 |
| 5538 | 835000 | 993634.5 |
| 5539 | 835000 | 1006624.9 |
| 5540 | 835000 | 1019615.2 |
| 5541 | 835000 | 1032605.6 |
| 5542 | 835000 | 1045596.0 |
| 5543 | 835000 | 1058586.4 |
| 5544 | 835000 | 1071576.8 |
| 5545 | 835000 | 1084567.1 |
| 5546 | 835000 | 1097557.5 |
| 5547 | 838750 | 506495.2 |
| 5548 | 838750 | 519485.6 |
| 5549 | 838750 | 532476.0 |
| 5550 | 838750 | 545466.3 |
| 5551 | 838750 | 558456.7 |
| 5552 | 838750 | 571447.1 |
| 5553 | 838750 | 584437.5 |
| 5554 | 838750 | 597427.9 |
| 5555 | 838750 | 610418.2 |
| 5556 | 838750 | 623408.6 |
| 5557 | 838750 | 636399.0 |
| 5558 | 838750 | 649389.4 |
| 5559 | 838750 | 662379.8 |
| 5560 | 838750 | 675370.1 |
| 5561 | 838750 | 688360.5 |
| 5562 | 838750 | 701350.9 |
| 5563 | 838750 | 714341.3 |
| 5564 | 838750 | 727331.7 |
| 5565 | 838750 | 740322.0 |
| 5566 | 838750 | 753312.4 |
| 5567 | 838750 | 766302.8 |
| 5568 | 838750 | 779293.2 |
| 5569 | 838750 | 792283.6 |
| 5570 | 838750 | 805274.0 |
| 5571 | 838750 | 818264.3 |
| 5572 | 838750 | 831254.7 |
| 5573 | 838750 | 844245.1 |
| 5574 | 838750 | 857235.5 |
| 5575 | 838750 | 870225.9 |
| 5576 | 838750 | 883216.2 |
| 5577 | 838750 | 896206.6 |
| 5578 | 838750 | 909197.0 |
| 5579 | 838750 | 922187.4 |
| 5580 | 838750 | 935177.8 |
| 5581 | 838750 | 948168.1 |
| 5582 | 838750 | 961158.5 |
| 5583 | 838750 | 974148.9 |
| 5584 | 838750 | 987139.3 |
| 5585 | 838750 | 1000129.7 |
| 5586 | 838750 | 1013120.1 |
| 5587 | 838750 | 1026110.4 |
| 5588 | 838750 | 1039100.8 |
| 5589 | 838750 | 1052091.2 |
| 5590 | 838750 | 1065081.6 |
| 5591 | 838750 | 1078072.0 |
| 5592 | 838750 | 1091062.3 |
| 5593 | 838750 | 1104052.7 |
| 5594 | 842500 | 500000.0 |
| 5595 | 842500 | 512990.4 |
| 5596 | 842500 | 525980.8 |
| 5597 | 842500 | 538971.1 |
| 5598 | 842500 | 551961.5 |
| 5599 | 842500 | 564951.9 |
| 5600 | 842500 | 577942.3 |
| 5601 | 842500 | 590932.7 |
| 5602 | 842500 | 603923.0 |
| 5603 | 842500 | 616913.4 |
| 5604 | 842500 | 629903.8 |
| 5605 | 842500 | 642894.2 |
| 5606 | 842500 | 655884.6 |
| 5607 | 842500 | 668875.0 |
| 5608 | 842500 | 681865.3 |
| 5609 | 842500 | 694855.7 |
| 5610 | 842500 | 707846.1 |
| 5611 | 842500 | 720836.5 |
| 5612 | 842500 | 733826.9 |
| 5613 | 842500 | 746817.2 |
| 5614 | 842500 | 759807.6 |
| 5615 | 842500 | 772798.0 |
| 5616 | 842500 | 785788.4 |
| 5617 | 842500 | 798778.8 |
| 5618 | 842500 | 811769.1 |
| 5619 | 842500 | 824759.5 |
| 5620 | 842500 | 837749.9 |
| 5621 | 842500 | 850740.3 |
| 5622 | 842500 | 863730.7 |
| 5623 | 842500 | 876721.1 |
| 5624 | 842500 | 889711.4 |
| 5625 | 842500 | 902701.8 |
| 5626 | 842500 | 915692.2 |
| 5627 | 842500 | 928682.6 |
| 5628 | 842500 | 941673.0 |
| 5629 | 842500 | 954663.3 |
| 5630 | 842500 | 967653.7 |
| 5631 | 842500 | 980644.1 |
| 5632 | 842500 | 993634.5 |
| 5633 | 842500 | 1006624.9 |
| 5634 | 842500 | 1019615.2 |
| 5635 | 842500 | 1032605.6 |
| 5636 | 842500 | 1045596.0 |
| 5637 | 842500 | 1058586.4 |
| 5638 | 842500 | 1071576.8 |
| 5639 | 842500 | 1084567.1 |
| 5640 | 842500 | 1097557.5 |
| 5641 | 846250 | 506495.2 |
| 5642 | 846250 | 519485.6 |
| 5643 | 846250 | 532476.0 |
| 5644 | 846250 | 545466.3 |
| 5645 | 846250 | 558456.7 |
| 5646 | 846250 | 571447.1 |
| 5647 | 846250 | 584437.5 |
| 5648 | 846250 | 597427.9 |
| 5649 | 846250 | 610418.2 |
| 5650 | 846250 | 623408.6 |
| 5651 | 846250 | 636399.0 |
| 5652 | 846250 | 649389.4 |
| 5653 | 846250 | 662379.8 |
| 5654 | 846250 | 675370.1 |
| 5655 | 846250 | 688360.5 |
| 5656 | 846250 | 701350.9 |
| 5657 | 846250 | 714341.3 |
| 5658 | 846250 | 727331.7 |
| 5659 | 846250 | 740322.0 |
| 5660 | 846250 | 753312.4 |
| 5661 | 846250 | 766302.8 |
| 5662 | 846250 | 779293.2 |
| 5663 | 846250 | 792283.6 |
| 5664 | 846250 | 805274.0 |
| 5665 | 846250 | 818264.3 |
| 5666 | 846250 | 831254.7 |
| 5667 | 846250 | 844245.1 |
| 5668 | 846250 | 857235.5 |
| 5669 | 846250 | 870225.9 |
| 5670 | 846250 | 883216.2 |
| 5671 | 846250 | 896206.6 |
| 5672 | 846250 | 909197.0 |
| 5673 | 846250 | 922187.4 |
| 5674 | 846250 | 935177.8 |
| 5675 | 846250 | 948168.1 |
| 5676 | 846250 | 961158.5 |
| 5677 | 846250 | 974148.9 |
| 5678 | 846250 | 987139.3 |
| 5679 | 846250 | 1000129.7 |
| 5680 | 846250 | 1013120.1 |
| 5681 | 846250 | 1026110.4 |
| 5682 | 846250 | 1039100.8 |
| 5683 | 846250 | 1052091.2 |
| 5684 | 846250 | 1065081.6 |
| 5685 | 846250 | 1078072.0 |
| 5686 | 846250 | 1091062.3 |
| 5687 | 846250 | 1104052.7 |
| 5688 | 850000 | 500000.0 |
| 5689 | 850000 | 512990.4 |
| 5690 | 850000 | 525980.8 |
| 5691 | 850000 | 538971.1 |
| 5692 | 850000 | 551961.5 |
| 5693 | 850000 | 564951.9 |
| 5694 | 850000 | 577942.3 |
| 5695 | 850000 | 590932.7 |
| 5696 | 850000 | 603923.0 |
| 5697 | 850000 | 616913.4 |
| 5698 | 850000 | 629903.8 |
| 5699 | 850000 | 642894.2 |
| 5700 | 850000 | 655884.6 |
| 5701 | 850000 | 668875.0 |
| 5702 | 850000 | 681865.3 |
| 5703 | 850000 | 694855.7 |
| 5704 | 850000 | 707846.1 |
| 5705 | 850000 | 720836.5 |
| 5706 | 850000 | 733826.9 |
| 5707 | 850000 | 746817.2 |
| 5708 | 850000 | 759807.6 |
| 5709 | 850000 | 772798.0 |
| 5710 | 850000 | 785788.4 |
| 5711 | 850000 | 798778.8 |
| 5712 | 850000 | 811769.1 |
| 5713 | 850000 | 824759.5 |
| 5714 | 850000 | 837749.9 |
| 5715 | 850000 | 850740.3 |
| 5716 | 850000 | 863730.7 |
| 5717 | 850000 | 876721.1 |
| 5718 | 850000 | 889711.4 |
| 5719 | 850000 | 902701.8 |
| 5720 | 850000 | 915692.2 |
| 5721 | 850000 | 928682.6 |
| 5722 | 850000 | 941673.0 |
| 5723 | 850000 | 954663.3 |
| 5724 | 850000 | 967653.7 |
| 5725 | 850000 | 980644.1 |
| 5726 | 850000 | 993634.5 |
| 5727 | 850000 | 1006624.9 |
| 5728 | 850000 | 1019615.2 |
| 5729 | 850000 | 1032605.6 |
| 5730 | 850000 | 1045596.0 |
| 5731 | 850000 | 1058586.4 |
| 5732 | 850000 | 1071576.8 |
| 5733 | 850000 | 1084567.1 |
| 5734 | 850000 | 1097557.5 |
| 5735 | 853750 | 506495.2 |
| 5736 | 853750 | 519485.6 |
| 5737 | 853750 | 532476.0 |
| 5738 | 853750 | 545466.3 |
| 5739 | 853750 | 558456.7 |
| 5740 | 853750 | 571447.1 |
| 5741 | 853750 | 584437.5 |
| 5742 | 853750 | 597427.9 |
| 5743 | 853750 | 610418.2 |
| 5744 | 853750 | 623408.6 |
| 5745 | 853750 | 636399.0 |
| 5746 | 853750 | 649389.4 |
| 5747 | 853750 | 662379.8 |
| 5748 | 853750 | 675370.1 |
| 5749 | 853750 | 688360.5 |
| 5750 | 853750 | 701350.9 |
| 5751 | 853750 | 714341.3 |
| 5752 | 853750 | 727331.7 |
| 5753 | 853750 | 740322.0 |
| 5754 | 853750 | 753312.4 |
| 5755 | 853750 | 766302.8 |
| 5756 | 853750 | 779293.2 |
| 5757 | 853750 | 792283.6 |
| 5758 | 853750 | 805274.0 |
| 5759 | 853750 | 818264.3 |
| 5760 | 853750 | 831254.7 |
| 5761 | 853750 | 844245.1 |
| 5762 | 853750 | 857235.5 |
| 5763 | 853750 | 870225.9 |
| 5764 | 853750 | 883216.2 |
| 5765 | 853750 | 896206.6 |
| 5766 | 853750 | 909197.0 |
| 5767 | 853750 | 922187.4 |
| 5768 | 853750 | 935177.8 |
| 5769 | 853750 | 948168.1 |
| 5770 | 853750 | 961158.5 |
| 5771 | 853750 | 974148.9 |
| 5772 | 853750 | 987139.3 |
| 5773 | 853750 | 1000129.7 |
| 5774 | 853750 | 1013120.1 |
| 5775 | 853750 | 1026110.4 |
| 5776 | 853750 | 1039100.8 |
| 5777 | 853750 | 1052091.2 |
| 5778 | 853750 | 1065081.6 |
| 5779 | 853750 | 1078072.0 |
| 5780 | 853750 | 1091062.3 |
| 5781 | 853750 | 1104052.7 |
| 5782 | 857500 | 500000.0 |
| 5783 | 857500 | 512990.4 |
| 5784 | 857500 | 525980.8 |
| 5785 | 857500 | 538971.1 |
| 5786 | 857500 | 551961.5 |
| 5787 | 857500 | 564951.9 |
| 5788 | 857500 | 577942.3 |
| 5789 | 857500 | 590932.7 |
| 5790 | 857500 | 603923.0 |
| 5791 | 857500 | 616913.4 |
| 5792 | 857500 | 629903.8 |
| 5793 | 857500 | 642894.2 |
| 5794 | 857500 | 655884.6 |
| 5795 | 857500 | 668875.0 |
| 5796 | 857500 | 681865.3 |
| 5797 | 857500 | 694855.7 |
| 5798 | 857500 | 707846.1 |
| 5799 | 857500 | 720836.5 |
| 5800 | 857500 | 733826.9 |
| 5801 | 857500 | 746817.2 |
| 5802 | 857500 | 759807.6 |
| 5803 | 857500 | 772798.0 |
| 5804 | 857500 | 785788.4 |
| 5805 | 857500 | 798778.8 |
| 5806 | 857500 | 811769.1 |
| 5807 | 857500 | 824759.5 |
| 5808 | 857500 | 837749.9 |
| 5809 | 857500 | 850740.3 |
| 5810 | 857500 | 863730.7 |
| 5811 | 857500 | 876721.1 |
| 5812 | 857500 | 889711.4 |
| 5813 | 857500 | 902701.8 |
| 5814 | 857500 | 915692.2 |
| 5815 | 857500 | 928682.6 |
| 5816 | 857500 | 941673.0 |
| 5817 | 857500 | 954663.3 |
| 5818 | 857500 | 967653.7 |
| 5819 | 857500 | 980644.1 |
| 5820 | 857500 | 993634.5 |
| 5821 | 857500 | 1006624.9 |
| 5822 | 857500 | 1019615.2 |
| 5823 | 857500 | 1032605.6 |
| 5824 | 857500 | 1045596.0 |
| 5825 | 857500 | 1058586.4 |
| 5826 | 857500 | 1071576.8 |
| 5827 | 857500 | 1084567.1 |
| 5828 | 857500 | 1097557.5 |
| 5829 | 861250 | 506495.2 |
| 5830 | 861250 | 519485.6 |
| 5831 | 861250 | 532476.0 |
| 5832 | 861250 | 545466.3 |
| 5833 | 861250 | 558456.7 |
| 5834 | 861250 | 571447.1 |
| 5835 | 861250 | 584437.5 |
| 5836 | 861250 | 597427.9 |
| 5837 | 861250 | 610418.2 |
| 5838 | 861250 | 623408.6 |
| 5839 | 861250 | 636399.0 |
| 5840 | 861250 | 649389.4 |
| 5841 | 861250 | 662379.8 |
| 5842 | 861250 | 675370.1 |
| 5843 | 861250 | 688360.5 |
| 5844 | 861250 | 701350.9 |
| 5845 | 861250 | 714341.3 |
| 5846 | 861250 | 727331.7 |
| 5847 | 861250 | 740322.0 |
| 5848 | 861250 | 753312.4 |
| 5849 | 861250 | 766302.8 |
| 5850 | 861250 | 779293.2 |
| 5851 | 861250 | 792283.6 |
| 5852 | 861250 | 805274.0 |
| 5853 | 861250 | 818264.3 |
| 5854 | 861250 | 831254.7 |
| 5855 | 861250 | 844245.1 |
| 5856 | 861250 | 857235.5 |
| 5857 | 861250 | 870225.9 |
| 5858 | 861250 | 883216.2 |
| 5859 | 861250 | 896206.6 |
| 5860 | 861250 | 909197.0 |
| 5861 | 861250 | 922187.4 |
| 5862 | 861250 | 935177.8 |
| 5863 | 861250 | 948168.1 |
| 5864 | 861250 | 961158.5 |
| 5865 | 861250 | 974148.9 |
| 5866 | 861250 | 987139.3 |
| 5867 | 861250 | 1000129.7 |
| 5868 | 861250 | 1013120.1 |
| 5869 | 861250 | 1026110.4 |
| 5870 | 861250 | 1039100.8 |
| 5871 | 861250 | 1052091.2 |
| 5872 | 861250 | 1065081.6 |
| 5873 | 861250 | 1078072.0 |
| 5874 | 861250 | 1091062.3 |
| 5875 | 861250 | 1104052.7 |
| 5876 | 865000 | 500000.0 |
| 5877 | 865000 | 512990.4 |
| 5878 | 865000 | 525980.8 |
| 5879 | 865000 | 538971.1 |
| 5880 | 865000 | 551961.5 |
| 5881 | 865000 | 564951.9 |
| 5882 | 865000 | 577942.3 |
| 5883 | 865000 | 590932.7 |
| 5884 | 865000 | 603923.0 |
| 5885 | 865000 | 616913.4 |
| 5886 | 865000 | 629903.8 |
| 5887 | 865000 | 642894.2 |
| 5888 | 865000 | 655884.6 |
| 5889 | 865000 | 668875.0 |
| 5890 | 865000 | 681865.3 |
| 5891 | 865000 | 694855.7 |
| 5892 | 865000 | 707846.1 |
| 5893 | 865000 | 720836.5 |
| 5894 | 865000 | 733826.9 |
| 5895 | 865000 | 746817.2 |
| 5896 | 865000 | 759807.6 |
| 5897 | 865000 | 772798.0 |
| 5898 | 865000 | 785788.4 |
| 5899 | 865000 | 798778.8 |
| 5900 | 865000 | 811769.1 |
| 5901 | 865000 | 824759.5 |
| 5902 | 865000 | 837749.9 |
| 5903 | 865000 | 850740.3 |
| 5904 | 865000 | 863730.7 |
| 5905 | 865000 | 876721.1 |
| 5906 | 865000 | 889711.4 |
| 5907 | 865000 | 902701.8 |
| 5908 | 865000 | 915692.2 |
| 5909 | 865000 | 928682.6 |
| 5910 | 865000 | 941673.0 |
| 5911 | 865000 | 954663.3 |
| 5912 | 865000 | 967653.7 |
| 5913 | 865000 | 980644.1 |
| 5914 | 865000 | 993634.5 |
| 5915 | 865000 | 1006624.9 |
| 5916 | 865000 | 1019615.2 |
| 5917 | 865000 | 1032605.6 |
| 5918 | 865000 | 1045596.0 |
| 5919 | 865000 | 1058586.4 |
| 5920 | 865000 | 1071576.8 |
| 5921 | 865000 | 1084567.1 |
| 5922 | 865000 | 1097557.5 |
| 5923 | 868750 | 506495.2 |
| 5924 | 868750 | 519485.6 |
| 5925 | 868750 | 532476.0 |
| 5926 | 868750 | 545466.3 |
| 5927 | 868750 | 558456.7 |
| 5928 | 868750 | 571447.1 |
| 5929 | 868750 | 584437.5 |
| 5930 | 868750 | 597427.9 |
| 5931 | 868750 | 610418.2 |
| 5932 | 868750 | 623408.6 |
| 5933 | 868750 | 636399.0 |
| 5934 | 868750 | 649389.4 |
| 5935 | 868750 | 662379.8 |
| 5936 | 868750 | 675370.1 |
| 5937 | 868750 | 688360.5 |
| 5938 | 868750 | 701350.9 |
| 5939 | 868750 | 714341.3 |
| 5940 | 868750 | 727331.7 |
| 5941 | 868750 | 740322.0 |
| 5942 | 868750 | 753312.4 |
| 5943 | 868750 | 766302.8 |
| 5944 | 868750 | 779293.2 |
| 5945 | 868750 | 792283.6 |
| 5946 | 868750 | 805274.0 |
| 5947 | 868750 | 818264.3 |
| 5948 | 868750 | 831254.7 |
| 5949 | 868750 | 844245.1 |
| 5950 | 868750 | 857235.5 |
| 5951 | 868750 | 870225.9 |
| 5952 | 868750 | 883216.2 |
| 5953 | 868750 | 896206.6 |
| 5954 | 868750 | 909197.0 |
| 5955 | 868750 | 922187.4 |
| 5956 | 868750 | 935177.8 |
| 5957 | 868750 | 948168.1 |
| 5958 | 868750 | 961158.5 |
| 5959 | 868750 | 974148.9 |
| 5960 | 868750 | 987139.3 |
| 5961 | 868750 | 1000129.7 |
| 5962 | 868750 | 1013120.1 |
| 5963 | 868750 | 1026110.4 |
| 5964 | 868750 | 1039100.8 |
| 5965 | 868750 | 1052091.2 |
| 5966 | 868750 | 1065081.6 |
| 5967 | 868750 | 1078072.0 |
| 5968 | 868750 | 1091062.3 |
| 5969 | 868750 | 1104052.7 |
| 5970 | 872500 | 500000.0 |
| 5971 | 872500 | 512990.4 |
| 5972 | 872500 | 525980.8 |
| 5973 | 872500 | 538971.1 |
| 5974 | 872500 | 551961.5 |
| 5975 | 872500 | 564951.9 |
| 5976 | 872500 | 577942.3 |
| 5977 | 872500 | 590932.7 |
| 5978 | 872500 | 603923.0 |
| 5979 | 872500 | 616913.4 |
| 5980 | 872500 | 629903.8 |
| 5981 | 872500 | 642894.2 |
| 5982 | 872500 | 655884.6 |
| 5983 | 872500 | 668875.0 |
| 5984 | 872500 | 681865.3 |
| 5985 | 872500 | 694855.7 |
| 5986 | 872500 | 707846.1 |
| 5987 | 872500 | 720836.5 |
| 5988 | 872500 | 733826.9 |
| 5989 | 872500 | 746817.2 |
| 5990 | 872500 | 759807.6 |
| 5991 | 872500 | 772798.0 |
| 5992 | 872500 | 785788.4 |
| 5993 | 872500 | 798778.8 |
| 5994 | 872500 | 811769.1 |
| 5995 | 872500 | 824759.5 |
| 5996 | 872500 | 837749.9 |
| 5997 | 872500 | 850740.3 |
| 5998 | 872500 | 863730.7 |
| 5999 | 872500 | 876721.1 |
| 6000 | 872500 | 889711.4 |
| 6001 | 872500 | 902701.8 |
| 6002 | 872500 | 915692.2 |
| 6003 | 872500 | 928682.6 |
| 6004 | 872500 | 941673.0 |
| 6005 | 872500 | 954663.3 |
| 6006 | 872500 | 967653.7 |
| 6007 | 872500 | 980644.1 |
| 6008 | 872500 | 993634.5 |
| 6009 | 872500 | 1006624.9 |
| 6010 | 872500 | 1019615.2 |
| 6011 | 872500 | 1032605.6 |
| 6012 | 872500 | 1045596.0 |
| 6013 | 872500 | 1058586.4 |
| 6014 | 872500 | 1071576.8 |
| 6015 | 872500 | 1084567.1 |
| 6016 | 872500 | 1097557.5 |
| 6017 | 876250 | 506495.2 |
| 6018 | 876250 | 519485.6 |
| 6019 | 876250 | 532476.0 |
| 6020 | 876250 | 545466.3 |
| 6021 | 876250 | 558456.7 |
| 6022 | 876250 | 571447.1 |
| 6023 | 876250 | 584437.5 |
| 6024 | 876250 | 597427.9 |
| 6025 | 876250 | 610418.2 |
| 6026 | 876250 | 623408.6 |
| 6027 | 876250 | 636399.0 |
| 6028 | 876250 | 649389.4 |
| 6029 | 876250 | 662379.8 |
| 6030 | 876250 | 675370.1 |
| 6031 | 876250 | 688360.5 |
| 6032 | 876250 | 701350.9 |
| 6033 | 876250 | 714341.3 |
| 6034 | 876250 | 727331.7 |
| 6035 | 876250 | 740322.0 |
| 6036 | 876250 | 753312.4 |
| 6037 | 876250 | 766302.8 |
| 6038 | 876250 | 779293.2 |
| 6039 | 876250 | 792283.6 |
| 6040 | 876250 | 805274.0 |
| 6041 | 876250 | 818264.3 |
| 6042 | 876250 | 831254.7 |
| 6043 | 876250 | 844245.1 |
| 6044 | 876250 | 857235.5 |
| 6045 | 876250 | 870225.9 |
| 6046 | 876250 | 883216.2 |
| 6047 | 876250 | 896206.6 |
| 6048 | 876250 | 909197.0 |
| 6049 | 876250 | 922187.4 |
| 6050 | 876250 | 935177.8 |
| 6051 | 876250 | 948168.1 |
| 6052 | 876250 | 961158.5 |
| 6053 | 876250 | 974148.9 |
| 6054 | 876250 | 987139.3 |
| 6055 | 876250 | 1000129.7 |
| 6056 | 876250 | 1013120.1 |
| 6057 | 876250 | 1026110.4 |
| 6058 | 876250 | 1039100.8 |
| 6059 | 876250 | 1052091.2 |
| 6060 | 876250 | 1065081.6 |
| 6061 | 876250 | 1078072.0 |
| 6062 | 876250 | 1091062.3 |
| 6063 | 876250 | 1104052.7 |
| 6064 | 880000 | 500000.0 |
| 6065 | 880000 | 512990.4 |
| 6066 | 880000 | 525980.8 |
| 6067 | 880000 | 538971.1 |
| 6068 | 880000 | 551961.5 |
| 6069 | 880000 | 564951.9 |
| 6070 | 880000 | 577942.3 |
| 6071 | 880000 | 590932.7 |
| 6072 | 880000 | 603923.0 |
| 6073 | 880000 | 616913.4 |
| 6074 | 880000 | 629903.8 |
| 6075 | 880000 | 642894.2 |
| 6076 | 880000 | 655884.6 |
| 6077 | 880000 | 668875.0 |
| 6078 | 880000 | 681865.3 |
| 6079 | 880000 | 694855.7 |
| 6080 | 880000 | 707846.1 |
| 6081 | 880000 | 720836.5 |
| 6082 | 880000 | 733826.9 |
| 6083 | 880000 | 746817.2 |
| 6084 | 880000 | 759807.6 |
| 6085 | 880000 | 772798.0 |
| 6086 | 880000 | 785788.4 |
| 6087 | 880000 | 798778.8 |
| 6088 | 880000 | 811769.1 |
| 6089 | 880000 | 824759.5 |
| 6090 | 880000 | 837749.9 |
| 6091 | 880000 | 850740.3 |
| 6092 | 880000 | 863730.7 |
| 6093 | 880000 | 876721.1 |
| 6094 | 880000 | 889711.4 |
| 6095 | 880000 | 902701.8 |
| 6096 | 880000 | 915692.2 |
| 6097 | 880000 | 928682.6 |
| 6098 | 880000 | 941673.0 |
| 6099 | 880000 | 954663.3 |
| 6100 | 880000 | 967653.7 |
| 6101 | 880000 | 980644.1 |
| 6102 | 880000 | 993634.5 |
| 6103 | 880000 | 1006624.9 |
| 6104 | 880000 | 1019615.2 |
| 6105 | 880000 | 1032605.6 |
| 6106 | 880000 | 1045596.0 |
| 6107 | 880000 | 1058586.4 |
| 6108 | 880000 | 1071576.8 |
| 6109 | 880000 | 1084567.1 |
| 6110 | 880000 | 1097557.5 |
| 6111 | 883750 | 506495.2 |
| 6112 | 883750 | 519485.6 |
| 6113 | 883750 | 532476.0 |
| 6114 | 883750 | 545466.3 |
| 6115 | 883750 | 558456.7 |
| 6116 | 883750 | 571447.1 |
| 6117 | 883750 | 584437.5 |
| 6118 | 883750 | 597427.9 |
| 6119 | 883750 | 610418.2 |
| 6120 | 883750 | 623408.6 |
| 6121 | 883750 | 636399.0 |
| 6122 | 883750 | 649389.4 |
| 6123 | 883750 | 662379.8 |
| 6124 | 883750 | 675370.1 |
| 6125 | 883750 | 688360.5 |
| 6126 | 883750 | 701350.9 |
| 6127 | 883750 | 714341.3 |
| 6128 | 883750 | 727331.7 |
| 6129 | 883750 | 740322.0 |
| 6130 | 883750 | 753312.4 |
| 6131 | 883750 | 766302.8 |
| 6132 | 883750 | 779293.2 |
| 6133 | 883750 | 792283.6 |
| 6134 | 883750 | 805274.0 |
| 6135 | 883750 | 818264.3 |
| 6136 | 883750 | 831254.7 |
| 6137 | 883750 | 844245.1 |
| 6138 | 883750 | 857235.5 |
| 6139 | 883750 | 870225.9 |
| 6140 | 883750 | 883216.2 |
| 6141 | 883750 | 896206.6 |
| 6142 | 883750 | 909197.0 |
| 6143 | 883750 | 922187.4 |
| 6144 | 883750 | 935177.8 |
| 6145 | 883750 | 948168.1 |
| 6146 | 883750 | 961158.5 |
| 6147 | 883750 | 974148.9 |
| 6148 | 883750 | 987139.3 |
| 6149 | 883750 | 1000129.7 |
| 6150 | 883750 | 1013120.1 |
| 6151 | 883750 | 1026110.4 |
| 6152 | 883750 | 1039100.8 |
| 6153 | 883750 | 1052091.2 |
| 6154 | 883750 | 1065081.6 |
| 6155 | 883750 | 1078072.0 |
| 6156 | 883750 | 1091062.3 |
| 6157 | 883750 | 1104052.7 |
| 6158 | 887500 | 500000.0 |
| 6159 | 887500 | 512990.4 |
| 6160 | 887500 | 525980.8 |
| 6161 | 887500 | 538971.1 |
| 6162 | 887500 | 551961.5 |
| 6163 | 887500 | 564951.9 |
| 6164 | 887500 | 577942.3 |
| 6165 | 887500 | 590932.7 |
| 6166 | 887500 | 603923.0 |
| 6167 | 887500 | 616913.4 |
| 6168 | 887500 | 629903.8 |
| 6169 | 887500 | 642894.2 |
| 6170 | 887500 | 655884.6 |
| 6171 | 887500 | 668875.0 |
| 6172 | 887500 | 681865.3 |
| 6173 | 887500 | 694855.7 |
| 6174 | 887500 | 707846.1 |
| 6175 | 887500 | 720836.5 |
| 6176 | 887500 | 733826.9 |
| 6177 | 887500 | 746817.2 |
| 6178 | 887500 | 759807.6 |
| 6179 | 887500 | 772798.0 |
| 6180 | 887500 | 785788.4 |
| 6181 | 887500 | 798778.8 |
| 6182 | 887500 | 811769.1 |
| 6183 | 887500 | 824759.5 |
| 6184 | 887500 | 837749.9 |
| 6185 | 887500 | 850740.3 |
| 6186 | 887500 | 863730.7 |
| 6187 | 887500 | 876721.1 |
| 6188 | 887500 | 889711.4 |
| 6189 | 887500 | 902701.8 |
| 6190 | 887500 | 915692.2 |
| 6191 | 887500 | 928682.6 |
| 6192 | 887500 | 941673.0 |
| 6193 | 887500 | 954663.3 |
| 6194 | 887500 | 967653.7 |
| 6195 | 887500 | 980644.1 |
| 6196 | 887500 | 993634.5 |
| 6197 | 887500 | 1006624.9 |
| 6198 | 887500 | 1019615.2 |
| 6199 | 887500 | 1032605.6 |
| 6200 | 887500 | 1045596.0 |
| 6201 | 887500 | 1058586.4 |
| 6202 | 887500 | 1071576.8 |
| 6203 | 887500 | 1084567.1 |
| 6204 | 887500 | 1097557.5 |
| 6205 | 891250 | 506495.2 |
| 6206 | 891250 | 519485.6 |
| 6207 | 891250 | 532476.0 |
| 6208 | 891250 | 545466.3 |
| 6209 | 891250 | 558456.7 |
| 6210 | 891250 | 571447.1 |
| 6211 | 891250 | 584437.5 |
| 6212 | 891250 | 597427.9 |
| 6213 | 891250 | 610418.2 |
| 6214 | 891250 | 623408.6 |
| 6215 | 891250 | 636399.0 |
| 6216 | 891250 | 649389.4 |
| 6217 | 891250 | 662379.8 |
| 6218 | 891250 | 675370.1 |
| 6219 | 891250 | 688360.5 |
| 6220 | 891250 | 701350.9 |
| 6221 | 891250 | 714341.3 |
| 6222 | 891250 | 727331.7 |
| 6223 | 891250 | 740322.0 |
| 6224 | 891250 | 753312.4 |
| 6225 | 891250 | 766302.8 |
| 6226 | 891250 | 779293.2 |
| 6227 | 891250 | 792283.6 |
| 6228 | 891250 | 805274.0 |
| 6229 | 891250 | 818264.3 |
| 6230 | 891250 | 831254.7 |
| 6231 | 891250 | 844245.1 |
| 6232 | 891250 | 857235.5 |
| 6233 | 891250 | 870225.9 |
| 6234 | 891250 | 883216.2 |
| 6235 | 891250 | 896206.6 |
| 6236 | 891250 | 909197.0 |
| 6237 | 891250 | 922187.4 |
| 6238 | 891250 | 935177.8 |
| 6239 | 891250 | 948168.1 |
| 6240 | 891250 | 961158.5 |
| 6241 | 891250 | 974148.9 |
| 6242 | 891250 | 987139.3 |
| 6243 | 891250 | 1000129.7 |
| 6244 | 891250 | 1013120.1 |
| 6245 | 891250 | 1026110.4 |
| 6246 | 891250 | 1039100.8 |
| 6247 | 891250 | 1052091.2 |
| 6248 | 891250 | 1065081.6 |
| 6249 | 891250 | 1078072.0 |
| 6250 | 891250 | 1091062.3 |
| 6251 | 891250 | 1104052.7 |
| 6252 | 895000 | 500000.0 |
| 6253 | 895000 | 512990.4 |
| 6254 | 895000 | 525980.8 |
| 6255 | 895000 | 538971.1 |
| 6256 | 895000 | 551961.5 |
| 6257 | 895000 | 564951.9 |
| 6258 | 895000 | 577942.3 |
| 6259 | 895000 | 590932.7 |
| 6260 | 895000 | 603923.0 |
| 6261 | 895000 | 616913.4 |
| 6262 | 895000 | 629903.8 |
| 6263 | 895000 | 642894.2 |
| 6264 | 895000 | 655884.6 |
| 6265 | 895000 | 668875.0 |
| 6266 | 895000 | 681865.3 |
| 6267 | 895000 | 694855.7 |
| 6268 | 895000 | 707846.1 |
| 6269 | 895000 | 720836.5 |
| 6270 | 895000 | 733826.9 |
| 6271 | 895000 | 746817.2 |
| 6272 | 895000 | 759807.6 |
| 6273 | 895000 | 772798.0 |
| 6274 | 895000 | 785788.4 |
| 6275 | 895000 | 798778.8 |
| 6276 | 895000 | 811769.1 |
| 6277 | 895000 | 824759.5 |
| 6278 | 895000 | 837749.9 |
| 6279 | 895000 | 850740.3 |
| 6280 | 895000 | 863730.7 |
| 6281 | 895000 | 876721.1 |
| 6282 | 895000 | 889711.4 |
| 6283 | 895000 | 902701.8 |
| 6284 | 895000 | 915692.2 |
| 6285 | 895000 | 928682.6 |
| 6286 | 895000 | 941673.0 |
| 6287 | 895000 | 954663.3 |
| 6288 | 895000 | 967653.7 |
| 6289 | 895000 | 980644.1 |
| 6290 | 895000 | 993634.5 |
| 6291 | 895000 | 1006624.9 |
| 6292 | 895000 | 1019615.2 |
| 6293 | 895000 | 1032605.6 |
| 6294 | 895000 | 1045596.0 |
| 6295 | 895000 | 1058586.4 |
| 6296 | 895000 | 1071576.8 |
| 6297 | 895000 | 1084567.1 |
| 6298 | 895000 | 1097557.5 |
| 6299 | 898750 | 506495.2 |
| 6300 | 898750 | 519485.6 |
| 6301 | 898750 | 532476.0 |
| 6302 | 898750 | 545466.3 |
| 6303 | 898750 | 558456.7 |
| 6304 | 898750 | 571447.1 |
| 6305 | 898750 | 584437.5 |
| 6306 | 898750 | 597427.9 |
| 6307 | 898750 | 610418.2 |
| 6308 | 898750 | 623408.6 |
| 6309 | 898750 | 636399.0 |
| 6310 | 898750 | 649389.4 |
| 6311 | 898750 | 662379.8 |
| 6312 | 898750 | 675370.1 |
| 6313 | 898750 | 688360.5 |
| 6314 | 898750 | 701350.9 |
| 6315 | 898750 | 714341.3 |
| 6316 | 898750 | 727331.7 |
| 6317 | 898750 | 740322.0 |
| 6318 | 898750 | 753312.4 |
| 6319 | 898750 | 766302.8 |
| 6320 | 898750 | 779293.2 |
| 6321 | 898750 | 792283.6 |
| 6322 | 898750 | 805274.0 |
| 6323 | 898750 | 818264.3 |
| 6324 | 898750 | 831254.7 |
| 6325 | 898750 | 844245.1 |
| 6326 | 898750 | 857235.5 |
| 6327 | 898750 | 870225.9 |
| 6328 | 898750 | 883216.2 |
| 6329 | 898750 | 896206.6 |
| 6330 | 898750 | 909197.0 |
| 6331 | 898750 | 922187.4 |
| 6332 | 898750 | 935177.8 |
| 6333 | 898750 | 948168.1 |
| 6334 | 898750 | 961158.5 |
| 6335 | 898750 | 974148.9 |
| 6336 | 898750 | 987139.3 |
| 6337 | 898750 | 1000129.7 |
| 6338 | 898750 | 1013120.1 |
| 6339 | 898750 | 1026110.4 |
| 6340 | 898750 | 1039100.8 |
| 6341 | 898750 | 1052091.2 |
| 6342 | 898750 | 1065081.6 |
| 6343 | 898750 | 1078072.0 |
| 6344 | 898750 | 1091062.3 |
| 6345 | 898750 | 1104052.7 |
| 6346 | 902500 | 500000.0 |
| 6347 | 902500 | 512990.4 |
| 6348 | 902500 | 525980.8 |
| 6349 | 902500 | 538971.1 |
| 6350 | 902500 | 551961.5 |
| 6351 | 902500 | 564951.9 |
| 6352 | 902500 | 577942.3 |
| 6353 | 902500 | 590932.7 |
| 6354 | 902500 | 603923.0 |
| 6355 | 902500 | 616913.4 |
| 6356 | 902500 | 629903.8 |
| 6357 | 902500 | 642894.2 |
| 6358 | 902500 | 655884.6 |
| 6359 | 902500 | 668875.0 |
| 6360 | 902500 | 681865.3 |
| 6361 | 902500 | 694855.7 |
| 6362 | 902500 | 707846.1 |
| 6363 | 902500 | 720836.5 |
| 6364 | 902500 | 733826.9 |
| 6365 | 902500 | 746817.2 |
| 6366 | 902500 | 759807.6 |
| 6367 | 902500 | 772798.0 |
| 6368 | 902500 | 785788.4 |
| 6369 | 902500 | 798778.8 |
| 6370 | 902500 | 811769.1 |
| 6371 | 902500 | 824759.5 |
| 6372 | 902500 | 837749.9 |
| 6373 | 902500 | 850740.3 |
| 6374 | 902500 | 863730.7 |
| 6375 | 902500 | 876721.1 |
| 6376 | 902500 | 889711.4 |
| 6377 | 902500 | 902701.8 |
| 6378 | 902500 | 915692.2 |
| 6379 | 902500 | 928682.6 |
| 6380 | 902500 | 941673.0 |
| 6381 | 902500 | 954663.3 |
| 6382 | 902500 | 967653.7 |
| 6383 | 902500 | 980644.1 |
| 6384 | 902500 | 993634.5 |
| 6385 | 902500 | 1006624.9 |
| 6386 | 902500 | 1019615.2 |
| 6387 | 902500 | 1032605.6 |
| 6388 | 902500 | 1045596.0 |
| 6389 | 902500 | 1058586.4 |
| 6390 | 902500 | 1071576.8 |
| 6391 | 902500 | 1084567.1 |
| 6392 | 902500 | 1097557.5 |
| 6393 | 906250 | 506495.2 |
| 6394 | 906250 | 519485.6 |
| 6395 | 906250 | 532476.0 |
| 6396 | 906250 | 545466.3 |
| 6397 | 906250 | 558456.7 |
| 6398 | 906250 | 571447.1 |
| 6399 | 906250 | 584437.5 |
| 6400 | 906250 | 597427.9 |
| 6401 | 906250 | 610418.2 |
| 6402 | 906250 | 623408.6 |
| 6403 | 906250 | 636399.0 |
| 6404 | 906250 | 649389.4 |
| 6405 | 906250 | 662379.8 |
| 6406 | 906250 | 675370.1 |
| 6407 | 906250 | 688360.5 |
| 6408 | 906250 | 701350.9 |
| 6409 | 906250 | 714341.3 |
| 6410 | 906250 | 727331.7 |
| 6411 | 906250 | 740322.0 |
| 6412 | 906250 | 753312.4 |
| 6413 | 906250 | 766302.8 |
| 6414 | 906250 | 779293.2 |
| 6415 | 906250 | 792283.6 |
| 6416 | 906250 | 805274.0 |
| 6417 | 906250 | 818264.3 |
| 6418 | 906250 | 831254.7 |
| 6419 | 906250 | 844245.1 |
| 6420 | 906250 | 857235.5 |
| 6421 | 906250 | 870225.9 |
| 6422 | 906250 | 883216.2 |
| 6423 | 906250 | 896206.6 |
| 6424 | 906250 | 909197.0 |
| 6425 | 906250 | 922187.4 |
| 6426 | 906250 | 935177.8 |
| 6427 | 906250 | 948168.1 |
| 6428 | 906250 | 961158.5 |
| 6429 | 906250 | 974148.9 |
| 6430 | 906250 | 987139.3 |
| 6431 | 906250 | 1000129.7 |
| 6432 | 906250 | 1013120.1 |
| 6433 | 906250 | 1026110.4 |
| 6434 | 906250 | 1039100.8 |
| 6435 | 906250 | 1052091.2 |
| 6436 | 906250 | 1065081.6 |
| 6437 | 906250 | 1078072.0 |
| 6438 | 906250 | 1091062.3 |
| 6439 | 906250 | 1104052.7 |
| 6440 | 910000 | 500000.0 |
| 6441 | 910000 | 512990.4 |
| 6442 | 910000 | 525980.8 |
| 6443 | 910000 | 538971.1 |
| 6444 | 910000 | 551961.5 |
| 6445 | 910000 | 564951.9 |
| 6446 | 910000 | 577942.3 |
| 6447 | 910000 | 590932.7 |
| 6448 | 910000 | 603923.0 |
| 6449 | 910000 | 616913.4 |
| 6450 | 910000 | 629903.8 |
| 6451 | 910000 | 642894.2 |
| 6452 | 910000 | 655884.6 |
| 6453 | 910000 | 668875.0 |
| 6454 | 910000 | 681865.3 |
| 6455 | 910000 | 694855.7 |
| 6456 | 910000 | 707846.1 |
| 6457 | 910000 | 720836.5 |
| 6458 | 910000 | 733826.9 |
| 6459 | 910000 | 746817.2 |
| 6460 | 910000 | 759807.6 |
| 6461 | 910000 | 772798.0 |
| 6462 | 910000 | 785788.4 |
| 6463 | 910000 | 798778.8 |
| 6464 | 910000 | 811769.1 |
| 6465 | 910000 | 824759.5 |
| 6466 | 910000 | 837749.9 |
| 6467 | 910000 | 850740.3 |
| 6468 | 910000 | 863730.7 |
| 6469 | 910000 | 876721.1 |
| 6470 | 910000 | 889711.4 |
| 6471 | 910000 | 902701.8 |
| 6472 | 910000 | 915692.2 |
| 6473 | 910000 | 928682.6 |
| 6474 | 910000 | 941673.0 |
| 6475 | 910000 | 954663.3 |
| 6476 | 910000 | 967653.7 |
| 6477 | 910000 | 980644.1 |
| 6478 | 910000 | 993634.5 |
| 6479 | 910000 | 1006624.9 |
| 6480 | 910000 | 1019615.2 |
| 6481 | 910000 | 1032605.6 |
| 6482 | 910000 | 1045596.0 |
| 6483 | 910000 | 1058586.4 |
| 6484 | 910000 | 1071576.8 |
| 6485 | 910000 | 1084567.1 |
| 6486 | 910000 | 1097557.5 |
| 6487 | 913750 | 506495.2 |
| 6488 | 913750 | 519485.6 |
| 6489 | 913750 | 532476.0 |
| 6490 | 913750 | 545466.3 |
| 6491 | 913750 | 558456.7 |
| 6492 | 913750 | 571447.1 |
| 6493 | 913750 | 584437.5 |
| 6494 | 913750 | 597427.9 |
| 6495 | 913750 | 610418.2 |
| 6496 | 913750 | 623408.6 |
| 6497 | 913750 | 636399.0 |
| 6498 | 913750 | 649389.4 |
| 6499 | 913750 | 662379.8 |
| 6500 | 913750 | 675370.1 |
| 6501 | 913750 | 688360.5 |
| 6502 | 913750 | 701350.9 |
| 6503 | 913750 | 714341.3 |
| 6504 | 913750 | 727331.7 |
| 6505 | 913750 | 740322.0 |
| 6506 | 913750 | 753312.4 |
| 6507 | 913750 | 766302.8 |
| 6508 | 913750 | 779293.2 |
| 6509 | 913750 | 792283.6 |
| 6510 | 913750 | 805274.0 |
| 6511 | 913750 | 818264.3 |
| 6512 | 913750 | 831254.7 |
| 6513 | 913750 | 844245.1 |
| 6514 | 913750 | 857235.5 |
| 6515 | 913750 | 870225.9 |
| 6516 | 913750 | 883216.2 |
| 6517 | 913750 | 896206.6 |
| 6518 | 913750 | 909197.0 |
| 6519 | 913750 | 922187.4 |
| 6520 | 913750 | 935177.8 |
| 6521 | 913750 | 948168.1 |
| 6522 | 913750 | 961158.5 |
| 6523 | 913750 | 974148.9 |
| 6524 | 913750 | 987139.3 |
| 6525 | 913750 | 1000129.7 |
| 6526 | 913750 | 1013120.1 |
| 6527 | 913750 | 1026110.4 |
| 6528 | 913750 | 1039100.8 |
| 6529 | 913750 | 1052091.2 |
| 6530 | 913750 | 1065081.6 |
| 6531 | 913750 | 1078072.0 |
| 6532 | 913750 | 1091062.3 |
| 6533 | 913750 | 1104052.7 |
| 6534 | 917500 | 500000.0 |
| 6535 | 917500 | 512990.4 |
| 6536 | 917500 | 525980.8 |
| 6537 | 917500 | 538971.1 |
| 6538 | 917500 | 551961.5 |
| 6539 | 917500 | 564951.9 |
| 6540 | 917500 | 577942.3 |
| 6541 | 917500 | 590932.7 |
| 6542 | 917500 | 603923.0 |
| 6543 | 917500 | 616913.4 |
| 6544 | 917500 | 629903.8 |
| 6545 | 917500 | 642894.2 |
| 6546 | 917500 | 655884.6 |
| 6547 | 917500 | 668875.0 |
| 6548 | 917500 | 681865.3 |
| 6549 | 917500 | 694855.7 |
| 6550 | 917500 | 707846.1 |
| 6551 | 917500 | 720836.5 |
| 6552 | 917500 | 733826.9 |
| 6553 | 917500 | 746817.2 |
| 6554 | 917500 | 759807.6 |
| 6555 | 917500 | 772798.0 |
| 6556 | 917500 | 785788.4 |
| 6557 | 917500 | 798778.8 |
| 6558 | 917500 | 811769.1 |
| 6559 | 917500 | 824759.5 |
| 6560 | 917500 | 837749.9 |
| 6561 | 917500 | 850740.3 |
| 6562 | 917500 | 863730.7 |
| 6563 | 917500 | 876721.1 |
| 6564 | 917500 | 889711.4 |
| 6565 | 917500 | 902701.8 |
| 6566 | 917500 | 915692.2 |
| 6567 | 917500 | 928682.6 |
| 6568 | 917500 | 941673.0 |
| 6569 | 917500 | 954663.3 |
| 6570 | 917500 | 967653.7 |
| 6571 | 917500 | 980644.1 |
| 6572 | 917500 | 993634.5 |
| 6573 | 917500 | 1006624.9 |
| 6574 | 917500 | 1019615.2 |
| 6575 | 917500 | 1032605.6 |
| 6576 | 917500 | 1045596.0 |
| 6577 | 917500 | 1058586.4 |
| 6578 | 917500 | 1071576.8 |
| 6579 | 917500 | 1084567.1 |
| 6580 | 917500 | 1097557.5 |
| 6581 | 921250 | 506495.2 |
| 6582 | 921250 | 519485.6 |
| 6583 | 921250 | 532476.0 |
| 6584 | 921250 | 545466.3 |
| 6585 | 921250 | 558456.7 |
| 6586 | 921250 | 571447.1 |
| 6587 | 921250 | 584437.5 |
| 6588 | 921250 | 597427.9 |
| 6589 | 921250 | 610418.2 |
| 6590 | 921250 | 623408.6 |
| 6591 | 921250 | 636399.0 |
| 6592 | 921250 | 649389.4 |
| 6593 | 921250 | 662379.8 |
| 6594 | 921250 | 675370.1 |
| 6595 | 921250 | 688360.5 |
| 6596 | 921250 | 701350.9 |
| 6597 | 921250 | 714341.3 |
| 6598 | 921250 | 727331.7 |
| 6599 | 921250 | 740322.0 |
| 6600 | 921250 | 753312.4 |
| 6601 | 921250 | 766302.8 |
| 6602 | 921250 | 779293.2 |
| 6603 | 921250 | 792283.6 |
| 6604 | 921250 | 805274.0 |
| 6605 | 921250 | 818264.3 |
| 6606 | 921250 | 831254.7 |
| 6607 | 921250 | 844245.1 |
| 6608 | 921250 | 857235.5 |
| 6609 | 921250 | 870225.9 |
| 6610 | 921250 | 883216.2 |
| 6611 | 921250 | 896206.6 |
| 6612 | 921250 | 909197.0 |
| 6613 | 921250 | 922187.4 |
| 6614 | 921250 | 935177.8 |
| 6615 | 921250 | 948168.1 |
| 6616 | 921250 | 961158.5 |
| 6617 | 921250 | 974148.9 |
| 6618 | 921250 | 987139.3 |
| 6619 | 921250 | 1000129.7 |
| 6620 | 921250 | 1013120.1 |
| 6621 | 921250 | 1026110.4 |
| 6622 | 921250 | 1039100.8 |
| 6623 | 921250 | 1052091.2 |
| 6624 | 921250 | 1065081.6 |
| 6625 | 921250 | 1078072.0 |
| 6626 | 921250 | 1091062.3 |
| 6627 | 921250 | 1104052.7 |
| 6628 | 925000 | 500000.0 |
| 6629 | 925000 | 512990.4 |
| 6630 | 925000 | 525980.8 |
| 6631 | 925000 | 538971.1 |
| 6632 | 925000 | 551961.5 |
| 6633 | 925000 | 564951.9 |
| 6634 | 925000 | 577942.3 |
| 6635 | 925000 | 590932.7 |
| 6636 | 925000 | 603923.0 |
| 6637 | 925000 | 616913.4 |
| 6638 | 925000 | 629903.8 |
| 6639 | 925000 | 642894.2 |
| 6640 | 925000 | 655884.6 |
| 6641 | 925000 | 668875.0 |
| 6642 | 925000 | 681865.3 |
| 6643 | 925000 | 694855.7 |
| 6644 | 925000 | 707846.1 |
| 6645 | 925000 | 720836.5 |
| 6646 | 925000 | 733826.9 |
| 6647 | 925000 | 746817.2 |
| 6648 | 925000 | 759807.6 |
| 6649 | 925000 | 772798.0 |
| 6650 | 925000 | 785788.4 |
| 6651 | 925000 | 798778.8 |
| 6652 | 925000 | 811769.1 |
| 6653 | 925000 | 824759.5 |
| 6654 | 925000 | 837749.9 |
| 6655 | 925000 | 850740.3 |
| 6656 | 925000 | 863730.7 |
| 6657 | 925000 | 876721.1 |
| 6658 | 925000 | 889711.4 |
| 6659 | 925000 | 902701.8 |
| 6660 | 925000 | 915692.2 |
| 6661 | 925000 | 928682.6 |
| 6662 | 925000 | 941673.0 |
| 6663 | 925000 | 954663.3 |
| 6664 | 925000 | 967653.7 |
| 6665 | 925000 | 980644.1 |
| 6666 | 925000 | 993634.5 |
| 6667 | 925000 | 1006624.9 |
| 6668 | 925000 | 1019615.2 |
| 6669 | 925000 | 1032605.6 |
| 6670 | 925000 | 1045596.0 |
| 6671 | 925000 | 1058586.4 |
| 6672 | 925000 | 1071576.8 |
| 6673 | 925000 | 1084567.1 |
| 6674 | 925000 | 1097557.5 |
| 6675 | 928750 | 506495.2 |
| 6676 | 928750 | 519485.6 |
| 6677 | 928750 | 532476.0 |
| 6678 | 928750 | 545466.3 |
| 6679 | 928750 | 558456.7 |
| 6680 | 928750 | 571447.1 |
| 6681 | 928750 | 584437.5 |
| 6682 | 928750 | 597427.9 |
| 6683 | 928750 | 610418.2 |
| 6684 | 928750 | 623408.6 |
| 6685 | 928750 | 636399.0 |
| 6686 | 928750 | 649389.4 |
| 6687 | 928750 | 662379.8 |
| 6688 | 928750 | 675370.1 |
| 6689 | 928750 | 688360.5 |
| 6690 | 928750 | 701350.9 |
| 6691 | 928750 | 714341.3 |
| 6692 | 928750 | 727331.7 |
| 6693 | 928750 | 740322.0 |
| 6694 | 928750 | 753312.4 |
| 6695 | 928750 | 766302.8 |
| 6696 | 928750 | 779293.2 |
| 6697 | 928750 | 792283.6 |
| 6698 | 928750 | 805274.0 |
| 6699 | 928750 | 818264.3 |
| 6700 | 928750 | 831254.7 |
| 6701 | 928750 | 844245.1 |
| 6702 | 928750 | 857235.5 |
| 6703 | 928750 | 870225.9 |
| 6704 | 928750 | 883216.2 |
| 6705 | 928750 | 896206.6 |
| 6706 | 928750 | 909197.0 |
| 6707 | 928750 | 922187.4 |
| 6708 | 928750 | 935177.8 |
| 6709 | 928750 | 948168.1 |
| 6710 | 928750 | 961158.5 |
| 6711 | 928750 | 974148.9 |
| 6712 | 928750 | 987139.3 |
| 6713 | 928750 | 1000129.7 |
| 6714 | 928750 | 1013120.1 |
| 6715 | 928750 | 1026110.4 |
| 6716 | 928750 | 1039100.8 |
| 6717 | 928750 | 1052091.2 |
| 6718 | 928750 | 1065081.6 |
| 6719 | 928750 | 1078072.0 |
| 6720 | 928750 | 1091062.3 |
| 6721 | 928750 | 1104052.7 |
| 6722 | 932500 | 500000.0 |
| 6723 | 932500 | 512990.4 |
| 6724 | 932500 | 525980.8 |
| 6725 | 932500 | 538971.1 |
| 6726 | 932500 | 551961.5 |
| 6727 | 932500 | 564951.9 |
| 6728 | 932500 | 577942.3 |
| 6729 | 932500 | 590932.7 |
| 6730 | 932500 | 603923.0 |
| 6731 | 932500 | 616913.4 |
| 6732 | 932500 | 629903.8 |
| 6733 | 932500 | 642894.2 |
| 6734 | 932500 | 655884.6 |
| 6735 | 932500 | 668875.0 |
| 6736 | 932500 | 681865.3 |
| 6737 | 932500 | 694855.7 |
| 6738 | 932500 | 707846.1 |
| 6739 | 932500 | 720836.5 |
| 6740 | 932500 | 733826.9 |
| 6741 | 932500 | 746817.2 |
| 6742 | 932500 | 759807.6 |
| 6743 | 932500 | 772798.0 |
| 6744 | 932500 | 785788.4 |
| 6745 | 932500 | 798778.8 |
| 6746 | 932500 | 811769.1 |
| 6747 | 932500 | 824759.5 |
| 6748 | 932500 | 837749.9 |
| 6749 | 932500 | 850740.3 |
| 6750 | 932500 | 863730.7 |
| 6751 | 932500 | 876721.1 |
| 6752 | 932500 | 889711.4 |
| 6753 | 932500 | 902701.8 |
| 6754 | 932500 | 915692.2 |
| 6755 | 932500 | 928682.6 |
| 6756 | 932500 | 941673.0 |
| 6757 | 932500 | 954663.3 |
| 6758 | 932500 | 967653.7 |
| 6759 | 932500 | 980644.1 |
| 6760 | 932500 | 993634.5 |
| 6761 | 932500 | 1006624.9 |
| 6762 | 932500 | 1019615.2 |
| 6763 | 932500 | 1032605.6 |
| 6764 | 932500 | 1045596.0 |
| 6765 | 932500 | 1058586.4 |
| 6766 | 932500 | 1071576.8 |
| 6767 | 932500 | 1084567.1 |
| 6768 | 932500 | 1097557.5 |
| 6769 | 936250 | 506495.2 |
| 6770 | 936250 | 519485.6 |
| 6771 | 936250 | 532476.0 |
| 6772 | 936250 | 545466.3 |
| 6773 | 936250 | 558456.7 |
| 6774 | 936250 | 571447.1 |
| 6775 | 936250 | 584437.5 |
| 6776 | 936250 | 597427.9 |
| 6777 | 936250 | 610418.2 |
| 6778 | 936250 | 623408.6 |
| 6779 | 936250 | 636399.0 |
| 6780 | 936250 | 649389.4 |
| 6781 | 936250 | 662379.8 |
| 6782 | 936250 | 675370.1 |
| 6783 | 936250 | 688360.5 |
| 6784 | 936250 | 701350.9 |
| 6785 | 936250 | 714341.3 |
| 6786 | 936250 | 727331.7 |
| 6787 | 936250 | 740322.0 |
| 6788 | 936250 | 753312.4 |
| 6789 | 936250 | 766302.8 |
| 6790 | 936250 | 779293.2 |
| 6791 | 936250 | 792283.6 |
| 6792 | 936250 | 805274.0 |
| 6793 | 936250 | 818264.3 |
| 6794 | 936250 | 831254.7 |
| 6795 | 936250 | 844245.1 |
| 6796 | 936250 | 857235.5 |
| 6797 | 936250 | 870225.9 |
| 6798 | 936250 | 883216.2 |
| 6799 | 936250 | 896206.6 |
| 6800 | 936250 | 909197.0 |
| 6801 | 936250 | 922187.4 |
| 6802 | 936250 | 935177.8 |
| 6803 | 936250 | 948168.1 |
| 6804 | 936250 | 961158.5 |
| 6805 | 936250 | 974148.9 |
| 6806 | 936250 | 987139.3 |
| 6807 | 936250 | 1000129.7 |
| 6808 | 936250 | 1013120.1 |
| 6809 | 936250 | 1026110.4 |
| 6810 | 936250 | 1039100.8 |
| 6811 | 936250 | 1052091.2 |
| 6812 | 936250 | 1065081.6 |
| 6813 | 936250 | 1078072.0 |
| 6814 | 936250 | 1091062.3 |
| 6815 | 936250 | 1104052.7 |
| 6816 | 940000 | 500000.0 |
| 6817 | 940000 | 512990.4 |
| 6818 | 940000 | 525980.8 |
| 6819 | 940000 | 538971.1 |
| 6820 | 940000 | 551961.5 |
| 6821 | 940000 | 564951.9 |
| 6822 | 940000 | 577942.3 |
| 6823 | 940000 | 590932.7 |
| 6824 | 940000 | 603923.0 |
| 6825 | 940000 | 616913.4 |
| 6826 | 940000 | 629903.8 |
| 6827 | 940000 | 642894.2 |
| 6828 | 940000 | 655884.6 |
| 6829 | 940000 | 668875.0 |
| 6830 | 940000 | 681865.3 |
| 6831 | 940000 | 694855.7 |
| 6832 | 940000 | 707846.1 |
| 6833 | 940000 | 720836.5 |
| 6834 | 940000 | 733826.9 |
| 6835 | 940000 | 746817.2 |
| 6836 | 940000 | 759807.6 |
| 6837 | 940000 | 772798.0 |
| 6838 | 940000 | 785788.4 |
| 6839 | 940000 | 798778.8 |
| 6840 | 940000 | 811769.1 |
| 6841 | 940000 | 824759.5 |
| 6842 | 940000 | 837749.9 |
| 6843 | 940000 | 850740.3 |
| 6844 | 940000 | 863730.7 |
| 6845 | 940000 | 876721.1 |
| 6846 | 940000 | 889711.4 |
| 6847 | 940000 | 902701.8 |
| 6848 | 940000 | 915692.2 |
| 6849 | 940000 | 928682.6 |
| 6850 | 940000 | 941673.0 |
| 6851 | 940000 | 954663.3 |
| 6852 | 940000 | 967653.7 |
| 6853 | 940000 | 980644.1 |
| 6854 | 940000 | 993634.5 |
| 6855 | 940000 | 1006624.9 |
| 6856 | 940000 | 1019615.2 |
| 6857 | 940000 | 1032605.6 |
| 6858 | 940000 | 1045596.0 |
| 6859 | 940000 | 1058586.4 |
| 6860 | 940000 | 1071576.8 |
| 6861 | 940000 | 1084567.1 |
| 6862 | 940000 | 1097557.5 |
| 6863 | 943750 | 506495.2 |
| 6864 | 943750 | 519485.6 |
| 6865 | 943750 | 532476.0 |
| 6866 | 943750 | 545466.3 |
| 6867 | 943750 | 558456.7 |
| 6868 | 943750 | 571447.1 |
| 6869 | 943750 | 584437.5 |
| 6870 | 943750 | 597427.9 |
| 6871 | 943750 | 610418.2 |
| 6872 | 943750 | 623408.6 |
| 6873 | 943750 | 636399.0 |
| 6874 | 943750 | 649389.4 |
| 6875 | 943750 | 662379.8 |
| 6876 | 943750 | 675370.1 |
| 6877 | 943750 | 688360.5 |
| 6878 | 943750 | 701350.9 |
| 6879 | 943750 | 714341.3 |
| 6880 | 943750 | 727331.7 |
| 6881 | 943750 | 740322.0 |
| 6882 | 943750 | 753312.4 |
| 6883 | 943750 | 766302.8 |
| 6884 | 943750 | 779293.2 |
| 6885 | 943750 | 792283.6 |
| 6886 | 943750 | 805274.0 |
| 6887 | 943750 | 818264.3 |
| 6888 | 943750 | 831254.7 |
| 6889 | 943750 | 844245.1 |
| 6890 | 943750 | 857235.5 |
| 6891 | 943750 | 870225.9 |
| 6892 | 943750 | 883216.2 |
| 6893 | 943750 | 896206.6 |
| 6894 | 943750 | 909197.0 |
| 6895 | 943750 | 922187.4 |
| 6896 | 943750 | 935177.8 |
| 6897 | 943750 | 948168.1 |
| 6898 | 943750 | 961158.5 |
| 6899 | 943750 | 974148.9 |
| 6900 | 943750 | 987139.3 |
| 6901 | 943750 | 1000129.7 |
| 6902 | 943750 | 1013120.1 |
| 6903 | 943750 | 1026110.4 |
| 6904 | 943750 | 1039100.8 |
| 6905 | 943750 | 1052091.2 |
| 6906 | 943750 | 1065081.6 |
| 6907 | 943750 | 1078072.0 |
| 6908 | 943750 | 1091062.3 |
| 6909 | 943750 | 1104052.7 |
| 6910 | 947500 | 500000.0 |
| 6911 | 947500 | 512990.4 |
| 6912 | 947500 | 525980.8 |
| 6913 | 947500 | 538971.1 |
| 6914 | 947500 | 551961.5 |
| 6915 | 947500 | 564951.9 |
| 6916 | 947500 | 577942.3 |
| 6917 | 947500 | 590932.7 |
| 6918 | 947500 | 603923.0 |
| 6919 | 947500 | 616913.4 |
| 6920 | 947500 | 629903.8 |
| 6921 | 947500 | 642894.2 |
| 6922 | 947500 | 655884.6 |
| 6923 | 947500 | 668875.0 |
| 6924 | 947500 | 681865.3 |
| 6925 | 947500 | 694855.7 |
| 6926 | 947500 | 707846.1 |
| 6927 | 947500 | 720836.5 |
| 6928 | 947500 | 733826.9 |
| 6929 | 947500 | 746817.2 |
| 6930 | 947500 | 759807.6 |
| 6931 | 947500 | 772798.0 |
| 6932 | 947500 | 785788.4 |
| 6933 | 947500 | 798778.8 |
| 6934 | 947500 | 811769.1 |
| 6935 | 947500 | 824759.5 |
| 6936 | 947500 | 837749.9 |
| 6937 | 947500 | 850740.3 |
| 6938 | 947500 | 863730.7 |
| 6939 | 947500 | 876721.1 |
| 6940 | 947500 | 889711.4 |
| 6941 | 947500 | 902701.8 |
| 6942 | 947500 | 915692.2 |
| 6943 | 947500 | 928682.6 |
| 6944 | 947500 | 941673.0 |
| 6945 | 947500 | 954663.3 |
| 6946 | 947500 | 967653.7 |
| 6947 | 947500 | 980644.1 |
| 6948 | 947500 | 993634.5 |
| 6949 | 947500 | 1006624.9 |
| 6950 | 947500 | 1019615.2 |
| 6951 | 947500 | 1032605.6 |
| 6952 | 947500 | 1045596.0 |
| 6953 | 947500 | 1058586.4 |
| 6954 | 947500 | 1071576.8 |
| 6955 | 947500 | 1084567.1 |
| 6956 | 947500 | 1097557.5 |
| 6957 | 951250 | 506495.2 |
| 6958 | 951250 | 519485.6 |
| 6959 | 951250 | 532476.0 |
| 6960 | 951250 | 545466.3 |
| 6961 | 951250 | 558456.7 |
| 6962 | 951250 | 571447.1 |
| 6963 | 951250 | 584437.5 |
| 6964 | 951250 | 597427.9 |
| 6965 | 951250 | 610418.2 |
| 6966 | 951250 | 623408.6 |
| 6967 | 951250 | 636399.0 |
| 6968 | 951250 | 649389.4 |
| 6969 | 951250 | 662379.8 |
| 6970 | 951250 | 675370.1 |
| 6971 | 951250 | 688360.5 |
| 6972 | 951250 | 701350.9 |
| 6973 | 951250 | 714341.3 |
| 6974 | 951250 | 727331.7 |
| 6975 | 951250 | 740322.0 |
| 6976 | 951250 | 753312.4 |
| 6977 | 951250 | 766302.8 |
| 6978 | 951250 | 779293.2 |
| 6979 | 951250 | 792283.6 |
| 6980 | 951250 | 805274.0 |
| 6981 | 951250 | 818264.3 |
| 6982 | 951250 | 831254.7 |
| 6983 | 951250 | 844245.1 |
| 6984 | 951250 | 857235.5 |
| 6985 | 951250 | 870225.9 |
| 6986 | 951250 | 883216.2 |
| 6987 | 951250 | 896206.6 |
| 6988 | 951250 | 909197.0 |
| 6989 | 951250 | 922187.4 |
| 6990 | 951250 | 935177.8 |
| 6991 | 951250 | 948168.1 |
| 6992 | 951250 | 961158.5 |
| 6993 | 951250 | 974148.9 |
| 6994 | 951250 | 987139.3 |
| 6995 | 951250 | 1000129.7 |
| 6996 | 951250 | 1013120.1 |
| 6997 | 951250 | 1026110.4 |
| 6998 | 951250 | 1039100.8 |
| 6999 | 951250 | 1052091.2 |
| 7000 | 951250 | 1065081.6 |
| 7001 | 951250 | 1078072.0 |
| 7002 | 951250 | 1091062.3 |
| 7003 | 951250 | 1104052.7 |
| 7004 | 955000 | 500000.0 |
| 7005 | 955000 | 512990.4 |
| 7006 | 955000 | 525980.8 |
| 7007 | 955000 | 538971.1 |
| 7008 | 955000 | 551961.5 |
| 7009 | 955000 | 564951.9 |
| 7010 | 955000 | 577942.3 |
| 7011 | 955000 | 590932.7 |
| 7012 | 955000 | 603923.0 |
| 7013 | 955000 | 616913.4 |
| 7014 | 955000 | 629903.8 |
| 7015 | 955000 | 642894.2 |
| 7016 | 955000 | 655884.6 |
| 7017 | 955000 | 668875.0 |
| 7018 | 955000 | 681865.3 |
| 7019 | 955000 | 694855.7 |
| 7020 | 955000 | 707846.1 |
| 7021 | 955000 | 720836.5 |
| 7022 | 955000 | 733826.9 |
| 7023 | 955000 | 746817.2 |
| 7024 | 955000 | 759807.6 |
| 7025 | 955000 | 772798.0 |
| 7026 | 955000 | 785788.4 |
| 7027 | 955000 | 798778.8 |
| 7028 | 955000 | 811769.1 |
| 7029 | 955000 | 824759.5 |
| 7030 | 955000 | 837749.9 |
| 7031 | 955000 | 850740.3 |
| 7032 | 955000 | 863730.7 |
| 7033 | 955000 | 876721.1 |
| 7034 | 955000 | 889711.4 |
| 7035 | 955000 | 902701.8 |
| 7036 | 955000 | 915692.2 |
| 7037 | 955000 | 928682.6 |
| 7038 | 955000 | 941673.0 |
| 7039 | 955000 | 954663.3 |
| 7040 | 955000 | 967653.7 |
| 7041 | 955000 | 980644.1 |
| 7042 | 955000 | 993634.5 |
| 7043 | 955000 | 1006624.9 |
| 7044 | 955000 | 1019615.2 |
| 7045 | 955000 | 1032605.6 |
| 7046 | 955000 | 1045596.0 |
| 7047 | 955000 | 1058586.4 |
| 7048 | 955000 | 1071576.8 |
| 7049 | 955000 | 1084567.1 |
| 7050 | 955000 | 1097557.5 |
| 7051 | 958750 | 506495.2 |
| 7052 | 958750 | 519485.6 |
| 7053 | 958750 | 532476.0 |
| 7054 | 958750 | 545466.3 |
| 7055 | 958750 | 558456.7 |
| 7056 | 958750 | 571447.1 |
| 7057 | 958750 | 584437.5 |
| 7058 | 958750 | 597427.9 |
| 7059 | 958750 | 610418.2 |
| 7060 | 958750 | 623408.6 |
| 7061 | 958750 | 636399.0 |
| 7062 | 958750 | 649389.4 |
| 7063 | 958750 | 662379.8 |
| 7064 | 958750 | 675370.1 |
| 7065 | 958750 | 688360.5 |
| 7066 | 958750 | 701350.9 |
| 7067 | 958750 | 714341.3 |
| 7068 | 958750 | 727331.7 |
| 7069 | 958750 | 740322.0 |
| 7070 | 958750 | 753312.4 |
| 7071 | 958750 | 766302.8 |
| 7072 | 958750 | 779293.2 |
| 7073 | 958750 | 792283.6 |
| 7074 | 958750 | 805274.0 |
| 7075 | 958750 | 818264.3 |
| 7076 | 958750 | 831254.7 |
| 7077 | 958750 | 844245.1 |
| 7078 | 958750 | 857235.5 |
| 7079 | 958750 | 870225.9 |
| 7080 | 958750 | 883216.2 |
| 7081 | 958750 | 896206.6 |
| 7082 | 958750 | 909197.0 |
| 7083 | 958750 | 922187.4 |
| 7084 | 958750 | 935177.8 |
| 7085 | 958750 | 948168.1 |
| 7086 | 958750 | 961158.5 |
| 7087 | 958750 | 974148.9 |
| 7088 | 958750 | 987139.3 |
| 7089 | 958750 | 1000129.7 |
| 7090 | 958750 | 1013120.1 |
| 7091 | 958750 | 1026110.4 |
| 7092 | 958750 | 1039100.8 |
| 7093 | 958750 | 1052091.2 |
| 7094 | 958750 | 1065081.6 |
| 7095 | 958750 | 1078072.0 |
| 7096 | 958750 | 1091062.3 |
| 7097 | 958750 | 1104052.7 |
| 7098 | 962500 | 500000.0 |
| 7099 | 962500 | 512990.4 |
| 7100 | 962500 | 525980.8 |
| 7101 | 962500 | 538971.1 |
| 7102 | 962500 | 551961.5 |
| 7103 | 962500 | 564951.9 |
| 7104 | 962500 | 577942.3 |
| 7105 | 962500 | 590932.7 |
| 7106 | 962500 | 603923.0 |
| 7107 | 962500 | 616913.4 |
| 7108 | 962500 | 629903.8 |
| 7109 | 962500 | 642894.2 |
| 7110 | 962500 | 655884.6 |
| 7111 | 962500 | 668875.0 |
| 7112 | 962500 | 681865.3 |
| 7113 | 962500 | 694855.7 |
| 7114 | 962500 | 707846.1 |
| 7115 | 962500 | 720836.5 |
| 7116 | 962500 | 733826.9 |
| 7117 | 962500 | 746817.2 |
| 7118 | 962500 | 759807.6 |
| 7119 | 962500 | 772798.0 |
| 7120 | 962500 | 785788.4 |
| 7121 | 962500 | 798778.8 |
| 7122 | 962500 | 811769.1 |
| 7123 | 962500 | 824759.5 |
| 7124 | 962500 | 837749.9 |
| 7125 | 962500 | 850740.3 |
| 7126 | 962500 | 863730.7 |
| 7127 | 962500 | 876721.1 |
| 7128 | 962500 | 889711.4 |
| 7129 | 962500 | 902701.8 |
| 7130 | 962500 | 915692.2 |
| 7131 | 962500 | 928682.6 |
| 7132 | 962500 | 941673.0 |
| 7133 | 962500 | 954663.3 |
| 7134 | 962500 | 967653.7 |
| 7135 | 962500 | 980644.1 |
| 7136 | 962500 | 993634.5 |
| 7137 | 962500 | 1006624.9 |
| 7138 | 962500 | 1019615.2 |
| 7139 | 962500 | 1032605.6 |
| 7140 | 962500 | 1045596.0 |
| 7141 | 962500 | 1058586.4 |
| 7142 | 962500 | 1071576.8 |
| 7143 | 962500 | 1084567.1 |
| 7144 | 962500 | 1097557.5 |
| 7145 | 966250 | 506495.2 |
| 7146 | 966250 | 519485.6 |
| 7147 | 966250 | 532476.0 |
| 7148 | 966250 | 545466.3 |
| 7149 | 966250 | 558456.7 |
| 7150 | 966250 | 571447.1 |
| 7151 | 966250 | 584437.5 |
| 7152 | 966250 | 597427.9 |
| 7153 | 966250 | 610418.2 |
| 7154 | 966250 | 623408.6 |
| 7155 | 966250 | 636399.0 |
| 7156 | 966250 | 649389.4 |
| 7157 | 966250 | 662379.8 |
| 7158 | 966250 | 675370.1 |
| 7159 | 966250 | 688360.5 |
| 7160 | 966250 | 701350.9 |
| 7161 | 966250 | 714341.3 |
| 7162 | 966250 | 727331.7 |
| 7163 | 966250 | 740322.0 |
| 7164 | 966250 | 753312.4 |
| 7165 | 966250 | 766302.8 |
| 7166 | 966250 | 779293.2 |
| 7167 | 966250 | 792283.6 |
| 7168 | 966250 | 805274.0 |
| 7169 | 966250 | 818264.3 |
| 7170 | 966250 | 831254.7 |
| 7171 | 966250 | 844245.1 |
| 7172 | 966250 | 857235.5 |
| 7173 | 966250 | 870225.9 |
| 7174 | 966250 | 883216.2 |
| 7175 | 966250 | 896206.6 |
| 7176 | 966250 | 909197.0 |
| 7177 | 966250 | 922187.4 |
| 7178 | 966250 | 935177.8 |
| 7179 | 966250 | 948168.1 |
| 7180 | 966250 | 961158.5 |
| 7181 | 966250 | 974148.9 |
| 7182 | 966250 | 987139.3 |
| 7183 | 966250 | 1000129.7 |
| 7184 | 966250 | 1013120.1 |
| 7185 | 966250 | 1026110.4 |
| 7186 | 966250 | 1039100.8 |
| 7187 | 966250 | 1052091.2 |
| 7188 | 966250 | 1065081.6 |
| 7189 | 966250 | 1078072.0 |
| 7190 | 966250 | 1091062.3 |
| 7191 | 966250 | 1104052.7 |
| 7192 | 970000 | 500000.0 |
| 7193 | 970000 | 512990.4 |
| 7194 | 970000 | 525980.8 |
| 7195 | 970000 | 538971.1 |
| 7196 | 970000 | 551961.5 |
| 7197 | 970000 | 564951.9 |
| 7198 | 970000 | 577942.3 |
| 7199 | 970000 | 590932.7 |
| 7200 | 970000 | 603923.0 |
| 7201 | 970000 | 616913.4 |
| 7202 | 970000 | 629903.8 |
| 7203 | 970000 | 642894.2 |
| 7204 | 970000 | 655884.6 |
| 7205 | 970000 | 668875.0 |
| 7206 | 970000 | 681865.3 |
| 7207 | 970000 | 694855.7 |
| 7208 | 970000 | 707846.1 |
| 7209 | 970000 | 720836.5 |
| 7210 | 970000 | 733826.9 |
| 7211 | 970000 | 746817.2 |
| 7212 | 970000 | 759807.6 |
| 7213 | 970000 | 772798.0 |
| 7214 | 970000 | 785788.4 |
| 7215 | 970000 | 798778.8 |
| 7216 | 970000 | 811769.1 |
| 7217 | 970000 | 824759.5 |
| 7218 | 970000 | 837749.9 |
| 7219 | 970000 | 850740.3 |
| 7220 | 970000 | 863730.7 |
| 7221 | 970000 | 876721.1 |
| 7222 | 970000 | 889711.4 |
| 7223 | 970000 | 902701.8 |
| 7224 | 970000 | 915692.2 |
| 7225 | 970000 | 928682.6 |
| 7226 | 970000 | 941673.0 |
| 7227 | 970000 | 954663.3 |
| 7228 | 970000 | 967653.7 |
| 7229 | 970000 | 980644.1 |
| 7230 | 970000 | 993634.5 |
| 7231 | 970000 | 1006624.9 |
| 7232 | 970000 | 1019615.2 |
| 7233 | 970000 | 1032605.6 |
| 7234 | 970000 | 1045596.0 |
| 7235 | 970000 | 1058586.4 |
| 7236 | 970000 | 1071576.8 |
| 7237 | 970000 | 1084567.1 |
| 7238 | 970000 | 1097557.5 |
| 7239 | 973750 | 506495.2 |
| 7240 | 973750 | 519485.6 |
| 7241 | 973750 | 532476.0 |
| 7242 | 973750 | 545466.3 |
| 7243 | 973750 | 558456.7 |
| 7244 | 973750 | 571447.1 |
| 7245 | 973750 | 584437.5 |
| 7246 | 973750 | 597427.9 |
| 7247 | 973750 | 610418.2 |
| 7248 | 973750 | 623408.6 |
| 7249 | 973750 | 636399.0 |
| 7250 | 973750 | 649389.4 |
| 7251 | 973750 | 662379.8 |
| 7252 | 973750 | 675370.1 |
| 7253 | 973750 | 688360.5 |
| 7254 | 973750 | 701350.9 |
| 7255 | 973750 | 714341.3 |
| 7256 | 973750 | 727331.7 |
| 7257 | 973750 | 740322.0 |
| 7258 | 973750 | 753312.4 |
| 7259 | 973750 | 766302.8 |
| 7260 | 973750 | 779293.2 |
| 7261 | 973750 | 792283.6 |
| 7262 | 973750 | 805274.0 |
| 7263 | 973750 | 818264.3 |
| 7264 | 973750 | 831254.7 |
| 7265 | 973750 | 844245.1 |
| 7266 | 973750 | 857235.5 |
| 7267 | 973750 | 870225.9 |
| 7268 | 973750 | 883216.2 |
| 7269 | 973750 | 896206.6 |
| 7270 | 973750 | 909197.0 |
| 7271 | 973750 | 922187.4 |
| 7272 | 973750 | 935177.8 |
| 7273 | 973750 | 948168.1 |
| 7274 | 973750 | 961158.5 |
| 7275 | 973750 | 974148.9 |
| 7276 | 973750 | 987139.3 |
| 7277 | 973750 | 1000129.7 |
| 7278 | 973750 | 1013120.1 |
| 7279 | 973750 | 1026110.4 |
| 7280 | 973750 | 1039100.8 |
| 7281 | 973750 | 1052091.2 |
| 7282 | 973750 | 1065081.6 |
| 7283 | 973750 | 1078072.0 |
| 7284 | 973750 | 1091062.3 |
| 7285 | 973750 | 1104052.7 |
| 7286 | 977500 | 500000.0 |
| 7287 | 977500 | 512990.4 |
| 7288 | 977500 | 525980.8 |
| 7289 | 977500 | 538971.1 |
| 7290 | 977500 | 551961.5 |
| 7291 | 977500 | 564951.9 |
| 7292 | 977500 | 577942.3 |
| 7293 | 977500 | 590932.7 |
| 7294 | 977500 | 603923.0 |
| 7295 | 977500 | 616913.4 |
| 7296 | 977500 | 629903.8 |
| 7297 | 977500 | 642894.2 |
| 7298 | 977500 | 655884.6 |
| 7299 | 977500 | 668875.0 |
| 7300 | 977500 | 681865.3 |
| 7301 | 977500 | 694855.7 |
| 7302 | 977500 | 707846.1 |
| 7303 | 977500 | 720836.5 |
| 7304 | 977500 | 733826.9 |
| 7305 | 977500 | 746817.2 |
| 7306 | 977500 | 759807.6 |
| 7307 | 977500 | 772798.0 |
| 7308 | 977500 | 785788.4 |
| 7309 | 977500 | 798778.8 |
| 7310 | 977500 | 811769.1 |
| 7311 | 977500 | 824759.5 |
| 7312 | 977500 | 837749.9 |
| 7313 | 977500 | 850740.3 |
| 7314 | 977500 | 863730.7 |
| 7315 | 977500 | 876721.1 |
| 7316 | 977500 | 889711.4 |
| 7317 | 977500 | 902701.8 |
| 7318 | 977500 | 915692.2 |
| 7319 | 977500 | 928682.6 |
| 7320 | 977500 | 941673.0 |
| 7321 | 977500 | 954663.3 |
| 7322 | 977500 | 967653.7 |
| 7323 | 977500 | 980644.1 |
| 7324 | 977500 | 993634.5 |
| 7325 | 977500 | 1006624.9 |
| 7326 | 977500 | 1019615.2 |
| 7327 | 977500 | 1032605.6 |
| 7328 | 977500 | 1045596.0 |
| 7329 | 977500 | 1058586.4 |
| 7330 | 977500 | 1071576.8 |
| 7331 | 977500 | 1084567.1 |
| 7332 | 977500 | 1097557.5 |
| 7333 | 981250 | 506495.2 |
| 7334 | 981250 | 519485.6 |
| 7335 | 981250 | 532476.0 |
| 7336 | 981250 | 545466.3 |
| 7337 | 981250 | 558456.7 |
| 7338 | 981250 | 571447.1 |
| 7339 | 981250 | 584437.5 |
| 7340 | 981250 | 597427.9 |
| 7341 | 981250 | 610418.2 |
| 7342 | 981250 | 623408.6 |
| 7343 | 981250 | 636399.0 |
| 7344 | 981250 | 649389.4 |
| 7345 | 981250 | 662379.8 |
| 7346 | 981250 | 675370.1 |
| 7347 | 981250 | 688360.5 |
| 7348 | 981250 | 701350.9 |
| 7349 | 981250 | 714341.3 |
| 7350 | 981250 | 727331.7 |
| 7351 | 981250 | 740322.0 |
| 7352 | 981250 | 753312.4 |
| 7353 | 981250 | 766302.8 |
| 7354 | 981250 | 779293.2 |
| 7355 | 981250 | 792283.6 |
| 7356 | 981250 | 805274.0 |
| 7357 | 981250 | 818264.3 |
| 7358 | 981250 | 831254.7 |
| 7359 | 981250 | 844245.1 |
| 7360 | 981250 | 857235.5 |
| 7361 | 981250 | 870225.9 |
| 7362 | 981250 | 883216.2 |
| 7363 | 981250 | 896206.6 |
| 7364 | 981250 | 909197.0 |
| 7365 | 981250 | 922187.4 |
| 7366 | 981250 | 935177.8 |
| 7367 | 981250 | 948168.1 |
| 7368 | 981250 | 961158.5 |
| 7369 | 981250 | 974148.9 |
| 7370 | 981250 | 987139.3 |
| 7371 | 981250 | 1000129.7 |
| 7372 | 981250 | 1013120.1 |
| 7373 | 981250 | 1026110.4 |
| 7374 | 981250 | 1039100.8 |
| 7375 | 981250 | 1052091.2 |
| 7376 | 981250 | 1065081.6 |
| 7377 | 981250 | 1078072.0 |
| 7378 | 981250 | 1091062.3 |
| 7379 | 981250 | 1104052.7 |
| 7380 | 985000 | 500000.0 |
| 7381 | 985000 | 512990.4 |
| 7382 | 985000 | 525980.8 |
| 7383 | 985000 | 538971.1 |
| 7384 | 985000 | 551961.5 |
| 7385 | 985000 | 564951.9 |
| 7386 | 985000 | 577942.3 |
| 7387 | 985000 | 590932.7 |
| 7388 | 985000 | 603923.0 |
| 7389 | 985000 | 616913.4 |
| 7390 | 985000 | 629903.8 |
| 7391 | 985000 | 642894.2 |
| 7392 | 985000 | 655884.6 |
| 7393 | 985000 | 668875.0 |
| 7394 | 985000 | 681865.3 |
| 7395 | 985000 | 694855.7 |
| 7396 | 985000 | 707846.1 |
| 7397 | 985000 | 720836.5 |
| 7398 | 985000 | 733826.9 |
| 7399 | 985000 | 746817.2 |
| 7400 | 985000 | 759807.6 |
| 7401 | 985000 | 772798.0 |
| 7402 | 985000 | 785788.4 |
| 7403 | 985000 | 798778.8 |
| 7404 | 985000 | 811769.1 |
| 7405 | 985000 | 824759.5 |
| 7406 | 985000 | 837749.9 |
| 7407 | 985000 | 850740.3 |
| 7408 | 985000 | 863730.7 |
| 7409 | 985000 | 876721.1 |
| 7410 | 985000 | 889711.4 |
| 7411 | 985000 | 902701.8 |
| 7412 | 985000 | 915692.2 |
| 7413 | 985000 | 928682.6 |
| 7414 | 985000 | 941673.0 |
| 7415 | 985000 | 954663.3 |
| 7416 | 985000 | 967653.7 |
| 7417 | 985000 | 980644.1 |
| 7418 | 985000 | 993634.5 |
| 7419 | 985000 | 1006624.9 |
| 7420 | 985000 | 1019615.2 |
| 7421 | 985000 | 1032605.6 |
| 7422 | 985000 | 1045596.0 |
| 7423 | 985000 | 1058586.4 |
| 7424 | 985000 | 1071576.8 |
| 7425 | 985000 | 1084567.1 |
| 7426 | 985000 | 1097557.5 |
| 7427 | 988750 | 506495.2 |
| 7428 | 988750 | 519485.6 |
| 7429 | 988750 | 532476.0 |
| 7430 | 988750 | 545466.3 |
| 7431 | 988750 | 558456.7 |
| 7432 | 988750 | 571447.1 |
| 7433 | 988750 | 584437.5 |
| 7434 | 988750 | 597427.9 |
| 7435 | 988750 | 610418.2 |
| 7436 | 988750 | 623408.6 |
| 7437 | 988750 | 636399.0 |
| 7438 | 988750 | 649389.4 |
| 7439 | 988750 | 662379.8 |
| 7440 | 988750 | 675370.1 |
| 7441 | 988750 | 688360.5 |
| 7442 | 988750 | 701350.9 |
| 7443 | 988750 | 714341.3 |
| 7444 | 988750 | 727331.7 |
| 7445 | 988750 | 740322.0 |
| 7446 | 988750 | 753312.4 |
| 7447 | 988750 | 766302.8 |
| 7448 | 988750 | 779293.2 |
| 7449 | 988750 | 792283.6 |
| 7450 | 988750 | 805274.0 |
| 7451 | 988750 | 818264.3 |
| 7452 | 988750 | 831254.7 |
| 7453 | 988750 | 844245.1 |
| 7454 | 988750 | 857235.5 |
| 7455 | 988750 | 870225.9 |
| 7456 | 988750 | 883216.2 |
| 7457 | 988750 | 896206.6 |
| 7458 | 988750 | 909197.0 |
| 7459 | 988750 | 922187.4 |
| 7460 | 988750 | 935177.8 |
| 7461 | 988750 | 948168.1 |
| 7462 | 988750 | 961158.5 |
| 7463 | 988750 | 974148.9 |
| 7464 | 988750 | 987139.3 |
| 7465 | 988750 | 1000129.7 |
| 7466 | 988750 | 1013120.1 |
| 7467 | 988750 | 1026110.4 |
| 7468 | 988750 | 1039100.8 |
| 7469 | 988750 | 1052091.2 |
| 7470 | 988750 | 1065081.6 |
| 7471 | 988750 | 1078072.0 |
| 7472 | 988750 | 1091062.3 |
| 7473 | 988750 | 1104052.7 |
| 7474 | 992500 | 500000.0 |
| 7475 | 992500 | 512990.4 |
| 7476 | 992500 | 525980.8 |
| 7477 | 992500 | 538971.1 |
| 7478 | 992500 | 551961.5 |
| 7479 | 992500 | 564951.9 |
| 7480 | 992500 | 577942.3 |
| 7481 | 992500 | 590932.7 |
| 7482 | 992500 | 603923.0 |
| 7483 | 992500 | 616913.4 |
| 7484 | 992500 | 629903.8 |
| 7485 | 992500 | 642894.2 |
| 7486 | 992500 | 655884.6 |
| 7487 | 992500 | 668875.0 |
| 7488 | 992500 | 681865.3 |
| 7489 | 992500 | 694855.7 |
| 7490 | 992500 | 707846.1 |
| 7491 | 992500 | 720836.5 |
| 7492 | 992500 | 733826.9 |
| 7493 | 992500 | 746817.2 |
| 7494 | 992500 | 759807.6 |
| 7495 | 992500 | 772798.0 |
| 7496 | 992500 | 785788.4 |
| 7497 | 992500 | 798778.8 |
| 7498 | 992500 | 811769.1 |
| 7499 | 992500 | 824759.5 |
| 7500 | 992500 | 837749.9 |
| 7501 | 992500 | 850740.3 |
| 7502 | 992500 | 863730.7 |
| 7503 | 992500 | 876721.1 |
| 7504 | 992500 | 889711.4 |
| 7505 | 992500 | 902701.8 |
| 7506 | 992500 | 915692.2 |
| 7507 | 992500 | 928682.6 |
| 7508 | 992500 | 941673.0 |
| 7509 | 992500 | 954663.3 |
| 7510 | 992500 | 967653.7 |
| 7511 | 992500 | 980644.1 |
| 7512 | 992500 | 993634.5 |
| 7513 | 992500 | 1006624.9 |
| 7514 | 992500 | 1019615.2 |
| 7515 | 992500 | 1032605.6 |
| 7516 | 992500 | 1045596.0 |
| 7517 | 992500 | 1058586.4 |
| 7518 | 992500 | 1071576.8 |
| 7519 | 992500 | 1084567.1 |
| 7520 | 992500 | 1097557.5 |
| 7521 | 996250 | 506495.2 |
| 7522 | 996250 | 519485.6 |
| 7523 | 996250 | 532476.0 |
| 7524 | 996250 | 545466.3 |
| 7525 | 996250 | 558456.7 |
| 7526 | 996250 | 571447.1 |
| 7527 | 996250 | 584437.5 |
| 7528 | 996250 | 597427.9 |
| 7529 | 996250 | 610418.2 |
| 7530 | 996250 | 623408.6 |
| 7531 | 996250 | 636399.0 |
| 7532 | 996250 | 649389.4 |
| 7533 | 996250 | 662379.8 |
| 7534 | 996250 | 675370.1 |
| 7535 | 996250 | 688360.5 |
| 7536 | 996250 | 701350.9 |
| 7537 | 996250 | 714341.3 |
| 7538 | 996250 | 727331.7 |
| 7539 | 996250 | 740322.0 |
| 7540 | 996250 | 753312.4 |
| 7541 | 996250 | 766302.8 |
| 7542 | 996250 | 779293.2 |
| 7543 | 996250 | 792283.6 |
| 7544 | 996250 | 805274.0 |
| 7545 | 996250 | 818264.3 |
| 7546 | 996250 | 831254.7 |
| 7547 | 996250 | 844245.1 |
| 7548 | 996250 | 857235.5 |
| 7549 | 996250 | 870225.9 |
| 7550 | 996250 | 883216.2 |
| 7551 | 996250 | 896206.6 |
| 7552 | 996250 | 909197.0 |
| 7553 | 996250 | 922187.4 |
| 7554 | 996250 | 935177.8 |
| 7555 | 996250 | 948168.1 |
| 7556 | 996250 | 961158.5 |
| 7557 | 996250 | 974148.9 |
| 7558 | 996250 | 987139.3 |
| 7559 | 996250 | 1000129.7 |
| 7560 | 996250 | 1013120.1 |
| 7561 | 996250 | 1026110.4 |
| 7562 | 996250 | 1039100.8 |
| 7563 | 996250 | 1052091.2 |
| 7564 | 996250 | 1065081.6 |
| 7565 | 996250 | 1078072.0 |
| 7566 | 996250 | 1091062.3 |
| 7567 | 996250 | 1104052.7 |
| 7568 | 1000000 | 500000.0 |
| 7569 | 1000000 | 512990.4 |
| 7570 | 1000000 | 525980.8 |
| 7571 | 1000000 | 538971.1 |
| 7572 | 1000000 | 551961.5 |
| 7573 | 1000000 | 564951.9 |
| 7574 | 1000000 | 577942.3 |
| 7575 | 1000000 | 590932.7 |
| 7576 | 1000000 | 603923.0 |
| 7577 | 1000000 | 616913.4 |
| 7578 | 1000000 | 629903.8 |
| 7579 | 1000000 | 642894.2 |
| 7580 | 1000000 | 655884.6 |
| 7581 | 1000000 | 668875.0 |
| 7582 | 1000000 | 681865.3 |
| 7583 | 1000000 | 694855.7 |
| 7584 | 1000000 | 707846.1 |
| 7585 | 1000000 | 720836.5 |
| 7586 | 1000000 | 733826.9 |
| 7587 | 1000000 | 746817.2 |
| 7588 | 1000000 | 759807.6 |
| 7589 | 1000000 | 772798.0 |
| 7590 | 1000000 | 785788.4 |
| 7591 | 1000000 | 798778.8 |
| 7592 | 1000000 | 811769.1 |
| 7593 | 1000000 | 824759.5 |
| 7594 | 1000000 | 837749.9 |
| 7595 | 1000000 | 850740.3 |
| 7596 | 1000000 | 863730.7 |
| 7597 | 1000000 | 876721.1 |
| 7598 | 1000000 | 889711.4 |
| 7599 | 1000000 | 902701.8 |
| 7600 | 1000000 | 915692.2 |
| 7601 | 1000000 | 928682.6 |
| 7602 | 1000000 | 941673.0 |
| 7603 | 1000000 | 954663.3 |
| 7604 | 1000000 | 967653.7 |
| 7605 | 1000000 | 980644.1 |
| 7606 | 1000000 | 993634.5 |
| 7607 | 1000000 | 1006624.9 |
| 7608 | 1000000 | 1019615.2 |
| 7609 | 1000000 | 1032605.6 |
| 7610 | 1000000 | 1045596.0 |
| 7611 | 1000000 | 1058586.4 |
| 7612 | 1000000 | 1071576.8 |
| 7613 | 1000000 | 1084567.1 |
| 7614 | 1000000 | 1097557.5 |
| 7615 | 1003750 | 506495.2 |
| 7616 | 1003750 | 519485.6 |
| 7617 | 1003750 | 532476.0 |
| 7618 | 1003750 | 545466.3 |
| 7619 | 1003750 | 558456.7 |
| 7620 | 1003750 | 571447.1 |
| 7621 | 1003750 | 584437.5 |
| 7622 | 1003750 | 597427.9 |
| 7623 | 1003750 | 610418.2 |
| 7624 | 1003750 | 623408.6 |
| 7625 | 1003750 | 636399.0 |
| 7626 | 1003750 | 649389.4 |
| 7627 | 1003750 | 662379.8 |
| 7628 | 1003750 | 675370.1 |
| 7629 | 1003750 | 688360.5 |
| 7630 | 1003750 | 701350.9 |
| 7631 | 1003750 | 714341.3 |
| 7632 | 1003750 | 727331.7 |
| 7633 | 1003750 | 740322.0 |
| 7634 | 1003750 | 753312.4 |
| 7635 | 1003750 | 766302.8 |
| 7636 | 1003750 | 779293.2 |
| 7637 | 1003750 | 792283.6 |
| 7638 | 1003750 | 805274.0 |
| 7639 | 1003750 | 818264.3 |
| 7640 | 1003750 | 831254.7 |
| 7641 | 1003750 | 844245.1 |
| 7642 | 1003750 | 857235.5 |
| 7643 | 1003750 | 870225.9 |
| 7644 | 1003750 | 883216.2 |
| 7645 | 1003750 | 896206.6 |
| 7646 | 1003750 | 909197.0 |
| 7647 | 1003750 | 922187.4 |
| 7648 | 1003750 | 935177.8 |
| 7649 | 1003750 | 948168.1 |
| 7650 | 1003750 | 961158.5 |
| 7651 | 1003750 | 974148.9 |
| 7652 | 1003750 | 987139.3 |
| 7653 | 1003750 | 1000129.7 |
| 7654 | 1003750 | 1013120.1 |
| 7655 | 1003750 | 1026110.4 |
| 7656 | 1003750 | 1039100.8 |
| 7657 | 1003750 | 1052091.2 |
| 7658 | 1003750 | 1065081.6 |
| 7659 | 1003750 | 1078072.0 |
| 7660 | 1003750 | 1091062.3 |
| 7661 | 1003750 | 1104052.7 |
I also need to convert hubs_data from an sf object into
a dataframe with the x and y coordinates stored as separate columns, so
that distances to hexagon centres can be calculated. There might be a
way of going about this where the hexagons and organisations are left as
sf objects, and distances are calculated using st_distance,
but anyway.
hub_data <- hub_data %>%
mutate(x = st_coordinates(.)[,1] , y = st_coordinates(.)[,2] ) %>%
st_drop_geometry()Now that we have the coordinates as separate variables in their
datasets we can assign each organistion to an individual
hexagon. This is done by using a vector containing the hexagon ids which
are already assigned to an organisation called
hex_gone_list (it is initially set up containing ‘1’ which
isn’t near any of the organisations, so that doesn’t matter).
We have a separate list, which starts out empty, that will contain all of the information on organisations and their nearest hexagons.
We loop over all of the organisations in hub_data, and
in each case calculate the distance to all remaining hexagons.
Then we filter out the one with the minimum distance. The id for that
hexagon (hex_num) is added to the
hex_gone_list so that it is excluded from further distance
checks, and the data for the organisation and its paired hexagon is
added to the hex_list. We then make a dataframe from
hex_list using bind_rows.
hex_gone_list <- c(1)
hex_list <- list()
for(i in 1:nrow(hub_data)){
org_hex_pair <- hex_centres %>%
filter(! hex_num %in% hex_gone_list) %>%
mutate(x0 = hub_data$x[i] , y0= hub_data$y[i],
dist = sqrt( ((x0-x)^2) + ((y0-y)^2) ) ) %>%
filter(dist == min(dist)) %>%
mutate(name = hub_data$name[i] , type = hub_data$type[i])
hex_gone_list <- c(hex_gone_list , org_hex_pair$hex_num[1])
hex_list[[i]] <- org_hex_pair
rm(org_hex_pair)
}Now that we have a list of all of the hex IDs and associated
organisation names and types, we can link it to hex_grid
which has the geometries of the hexagons for plotting.
org_hexes <- hex_grid %>%
inner_join(bind_rows(hex_list) %>%
select(hex_num , name, type)) | hex_num | name | type | x |
|---|---|---|---|
| 1091 | Munster Technological University Kerry (MTU Kerry) TTO | University TTO | POLYGON ((482500 612583.3, … |
| 1137 | IMaR - Intelligent Mechatronics and RFID - Tralee | Technology Gateway | POLYGON ((486250 606088.1, … |
| 1616 | CURAM SFI Research Centre for Medical Devices - Galway | SFI Research Centre | POLYGON ((523750 723001.5, … |
| 1663 | National University of Ireland Galway TTO (NUIG) | University TTO | POLYGON ((527500 716506.4, … |
| 1710 | Galway-Mayo Institute of Technology (GMIT) TTO | Institute of Technology TTO | POLYGON ((531250 723001.5, … |
| 1757 | Marine Institute | National Institutes and Facilities | POLYGON ((535000 716506.4, … |
| 1804 | MET Gateway - Medical & Engineering Technology - Galway | Technology Gateway | POLYGON ((538750 723001.5, … |
| 1940 | CONFIRM - Smart Manufacturing Research Centre - Limerick | SFI Research Centre | POLYGON ((550000 651554.4, … |
| 1987 | Shannon ABC - Nutraceuticals Research - Tralee/ Limerick | Technology Gateway | POLYGON ((553750 658049.6, … |
| 2027 | CAPPA - Centre for Advanced Photonics and Process Analysis - Cork | Technology Gateway | POLYGON ((557500 560621.8, … |
| 2028 | NIMBUS - Embedded Computing and Software Systems - Cork | Technology Gateway | POLYGON ((557500 573612.2, … |
| 2034 | Limerick Institute of Technology | Institute of Technology TTO | POLYGON ((557500 651554.4, … |
| 2035 | DPTC - The Dairy Processing Technology Centre | Technology Centre | POLYGON ((557500 664544.8, … |
| 2074 | Munster Technological University Cork (MTU Cork) TTO | University TTO | POLYGON ((561250 567117, 55… |
| 2080 | Pharmaceutical Manufacturing (PMTC) - Limerick | Technology Centre | POLYGON ((561250 645059.3, … |
| 2081 | University of Limerick (UL) TTO | University TTO | POLYGON ((561250 658049.6, … |
| 2121 | INFANT - Irish Centre for Foetal and Neonatal Translational Research - Cork | HEI Profiles | POLYGON ((565000 560621.8, … |
| 2122 | APC - Microbiome Institute - Cork | SFI Research Centre | POLYGON ((565000 573612.2, … |
| 2128 | Lero - Irish Software Engineering Research Centre - Limerick | SFI Research Centre | POLYGON ((565000 651554.4, … |
| 2142 | Precision Engineering, Materials and Manufacturing research - Sligo | Technology Gateway | POLYGON ((565000 833419.8, … |
| 2168 | University College Cork (UCC) TTO | University TTO | POLYGON ((568750 567117, 56… |
| 2169 | Tyndall National Institute | National Institutes and Facilities | POLYGON ((568750 580107.3, … |
| 2175 | SSPC, the SFI Research Centre for Pharmaceuticals | SFI Research Centre | POLYGON ((568750 658049.6, … |
| 2215 | IPIC - Irish Photonic Integration Centre - Cork | SFI Research Centre | POLYGON ((572500 560621.8, … |
| 2216 | MaREI - Marine Renewable Energy Ireland - Cork | SFI Research Centre | POLYGON ((572500 573612.2, … |
| 2236 | Institute of Technology Sligo TTO | Institute of Technology TTO | POLYGON ((572500 833419.8, … |
| 2262 | MCCI - Microelectronics - Cork | Technology Centre | POLYGON ((576250 567117, 57… |
| 2312 | VistaMilk | SFI Research Centre | POLYGON ((580000 599592.9, … |
| 2605 | COMAND - Interactive Media Technologies - Athlone | Technology Gateway | POLYGON ((602500 742487.1, … |
| 2651 | Athlone Institute of Technology | Institute of Technology TTO | POLYGON ((606250 735991.9, … |
| 2699 | APT - Applied Polymer Technologies - Athlone | Technology Gateway | POLYGON ((610000 742487.1, … |
| 2806 | WiSAR Lab - Wireless Sensor Technologies - Letterkenny | Technology Gateway | POLYGON ((617500 911362.1, … |
| 2852 | Letterkenny Institute of Technology (LYIT) TTO | Institute of Technology TTO | POLYGON ((621250 904866.9, … |
| 3205 | TSSG - Telecommunications Software & Systems Gateway | Technology Gateway | POLYGON ((651250 606088.1, … |
| 3253 | PMBrc - Pharmaceutical & Molecular Biotechnology Research Centre - Waterford | Technology Gateway | POLYGON ((655000 612583.3, … |
| 3299 | Waterford Institute of Technology (WIT) TTO | Institute of Technology TTO | POLYGON ((658750 606088.1, … |
| 3347 | SEAM - South Eastern Applied Materials Research Centre - Waterford | Technology Gateway | POLYGON ((662500 612583.3, … |
| 3398 | Design and Applied Design Technology Gateway - Carlow | Technology Gateway | POLYGON ((666250 671040, 66… |
| 3492 | Institute of Technology Carlow (IT Carlow) TTO | Institute of Technology TTO | POLYGON ((673750 671040, 67… |
| 3737 | CREDIT - Centre for Renewables and Energy - Dundalk | Technology Gateway | POLYGON ((692500 794448.6, … |
| 3878 | Dundalk Institute of Technology (DkIT) TTO | Institute of Technology TTO | POLYGON ((703750 800943.8, … |
| 4908 | Maynooth University TTO | University TTO | POLYGON ((786250 748982.3, … |
| 5375 | IMR - Irish Manufacturing Research - Mullingar | Technology Centre | POLYGON ((823750 710011.2, … |
| 5661 | Technological University Dublin (TU Dublin) - Blanchardstown TTO | University TTO | POLYGON ((846250 761972.7, … |
| 5704 | MiCRA - Microsensors for Clinical Research and Analysis - Dublin | Technology Gateway | POLYGON ((850000 703516, 84… |
| 5751 | Technological University Dublin (TU Dublin) - Tallaght TTO | University TTO | POLYGON ((853750 710011.2, … |
| 5802 | MTI - Meat Technology Ireland | Technology Centre | POLYGON ((857500 755477.5, … |
| 5848 | Teagasc Food Research Centre - Ashtown & Moorepark | National Institutes and Facilities | POLYGON ((861250 748982.3, … |
| 5941 | National College of Art & Design (NCAD) TTO | University TTO | POLYGON ((868750 735991.9, … |
| 5988 | Royal College of Surgeons Ireland (RCSI) | University TTO | POLYGON ((872500 729496.7, … |
| 5989 | Technological University Dublin (TU Dublin) TTO | University TTO | POLYGON ((872500 742487.1, … |
| 6034 | HRB - Health Research Board | National Institutes and Facilities | POLYGON ((876250 723001.5, … |
| 6035 | ADAPT - Centre for Digital Content Technology | SFI Research Centre | POLYGON ((876250 735991.9, … |
| 6036 | APT – Advanced Processing Technology Research Centre Dublin | National Institutes and Facilities | POLYGON ((876250 748982.3, … |
| 6081 | DIAS - The Dublin Institute for Advanced Studies (TTO) | Institute of Technology TTO | POLYGON ((880000 716506.4, … |
| 6082 | CREST - Centre for Research in Engineering Surface Technology - Dublin | Technology Gateway | POLYGON ((880000 729496.7, … |
| 6083 | National College of Ireland (NCI) TTO | University TTO | POLYGON ((880000 742487.1, … |
| 6084 | Dublin City University (DCU) TTO | University TTO | POLYGON ((880000 755477.5, … |
| 6128 | Future Neuro - Centre for Chronic and Rare Neurological Diseases - Dublin | SFI Research Centre | POLYGON ((883750 723001.5, … |
| 6129 | Trinity College Dublin (TCD) TTO | University TTO | POLYGON ((883750 735991.9, … |
| 6130 | Insight – Centre for Data Analytics | SFI Research Centre | POLYGON ((883750 748982.3, … |
| 6175 | CeADAR – Data Analytics & Machine Intelligence - Dublin | Technology Centre | POLYGON ((887500 716506.4, … |
| 6176 | AMBER - Advanced Materials and BioEngineering Research - Dublin | SFI Research Centre | POLYGON ((887500 729496.7, … |
| 6177 | CONNECT - The Centre for Future Networks and Communications - Dublin | SFI Research Centre | POLYGON ((887500 742487.1, … |
| 6221 | NIBRT - National Institute for Bioprocessing Research & Training | National Institutes and Facilities | POLYGON ((891250 710011.2, … |
| 6222 | FHI - Food for Health Ireland - Dublin | Technology Centre | POLYGON ((891250 723001.5, … |
| 6223 | Learnovate Centre - Dublin | Technology Centre | POLYGON ((891250 735991.9, … |
| 6269 | University College Dublin (UCD) TTO | University TTO | POLYGON ((895000 716506.4, … |
| 6270 | ICHEC - Irish Centre for High-End Computing | National Institutes and Facilities | POLYGON ((895000 729496.7, … |
| 6315 | BiOrbic Bioeconomy Research Centre - Dublin | SFI Research Centre | POLYGON ((898750 710011.2, … |
| 6316 | iCRAG - Irish Centre for Research in Applied Geosciences | SFI Research Centre | POLYGON ((898750 723001.5, … |
| 6363 | I-Form Advanced Manufacturing Research Centre - Dublin | SFI Research Centre | POLYGON ((902500 716506.4, … |
| 6456 | Dun Laoghaire Institute of Art, Design & Technology (IADT) TTO | Institute of Technology TTO | POLYGON ((910000 703516, 90… |
Final plot
Now we can plot org_hexes as an extra layer in our map.
We add dub_inset_small as a layer too in a darker shade of
grey than the rest of the country.
ggplot(county_map_itm) +
geom_sf() +
geom_sf(data = dub_circle_small , fill=NA) +
geom_sf(data = dub_circle_big, fill=NA) +
geom_sf(data = dub_inset) +
geom_sf(data = dub_inset_small , fill="grey80") +
geom_sf(data = tan_df , colour= "grey35") +
geom_sf(data = org_hexes, aes(fill=type) , colour=NA) +
scale_fill_manual(values = RColorBrewer::brewer.pal(7, "Dark2")) +
labs(fill = "") +
theme_void()
That’s it. You can make some additional code to do some “annealing” of the hexagon-organisation allocations to minimise the sum of the distances. Each hexagon has six neighbours, and their ID number varies by -48 (lower left), -94 (left), -49 (top left), +47 (top right), +94 (right) and +46 (bottom right). So you could run, say, 10,000 iterations where organisations swap hexes with one of their neighbouring cells and see if the total distance is reduced, keeping changes where that is the case.